Past Final Projects

Fall 2025

File index, Files

Fall 2024

File index, Files

• Ability of DQN Model to Learn Theory of Mind when Playing Hanabi
• Maestro: Composing Music with Q-Learning
• Pick Your Poison: Navigating the Paris Public Transportation System Using Monte Carlo Tree Search
• Short-Term Memory for Partially Observable Markov Games
• Slithering into Smarter Solutions: Winning at SNAKE
• Saccading Through A Visual Scene
• AI Want to Be The Very Best
• What the Farkle!?
• Optimizing Task Completion Time Updates Using POMDPs
• Anticipating the Odds: A Lookahead Method for Blackjack Actor Development
• Blokus Bot (Botkus? Blobotkus?)
• RoboDelivery: A Q-Learning Approach to Autonomous Package Distribution
• Attitude Determination and Control for a Spacecraft with Unreliable State Measurements
• Modeling Renewable Energy Transitions as a Markov Decision Process: A Q-Learning approach to minimizing fossil-fuel reliance while meeting energy demands
• Optimizing Investment Decisions in the Airline Industry Using Random Forest Models
• Optimal Water Allocation Strategies
• Managing Power Grids During Hurricanes Using Probabilistic Decision-Making
• POMDP Knowledge Tracing
• Optimizing Electricity Futures Trading with Reinforcement Learning and Deep Learning Driven
• Price Forecasting
• Dynamical Tasks Planner
• POMDPs for Cervical Cancer Screening
• Learning Cribbage using a Two-Phase Model
• Optimizing Decision-Making in Open Face Chinese Poker Using Monte Carlo Tree Search
• Navigating the Lunar Surface under Low Visibility Conditions
• RoadSense: Intelligent Agents for Traffic Navigation
• Trajectory Planning in Unknown Environment
• Cool Maze Searcher – Reinforcement Learning in 3D Robot Maze Navigation
• AlphaZero Continuous for Car Lateral Control
• Game of Wordle: AI-Driven Word Guessing
• To GNN or to LLM? That is a Risk(y) Question
• When to Assist and Retrain? Learning Policies for Algorithmic Decision Support
• RL Approaches to Optimize Supply Chain Dynamics in the Beer Game
• Learning Speed-Based Binning for CMA Optimization in Walking Prosthetics
• Rat-AI-touille: Enhancing Multi-Agent Collaboration in Overcooked-AI with Communication
• Q-Learning and Model Predictive Control for Drone Wildfire Response
• Wordle MCS: An Improved Wordle Solver
• Action-Masked Deep RL for Complex Card Game Environments: A Hearts Case Study
• Q-Learning-Driven Actuation for High-Precision Space Trusses
• Safe Multi-Agent Spacecraft Reconfiguration Under Uncertainty
• Discovering Protein Complexes in Protein Interaction Networks Using Q-Learning
• Graph Reinforcement Learning for the Traveling Salesman Problem with Stochastic Travel Times
• Path to 101: A Guided Q-Learning Simulation for Prime Climb
• Hit or Stand?
• Online Path-Planning for Terrain Navigation Using MCTS
• Can Q-Learning Learn You-Learning? Reinforcement Learning for Adaptive Quizzing
• Application of Reinforcement Learning in Modern Art Game
• Modeling Mafia with Q-Learning
• Playing Regicide: Optimal Game Play in Uncertain Environments
• Dealer’s Dilemma – Learning To Play Dealer’s Choice Poker
• Ad-ventures in Bidding: Agents, Bids, and the Fight for Clicks
• Stranded on a Grid: Modeling NYT Strands as an MDP and Solving with MCTS
• Bots and Boxes: AlphaZero for Playing Dots and Boxes
• Deep Reinforcement Learning in Robot Object Stacking
• Ear Training Suite for Music Students
• AeroAstro Work-Life Balance: How to Maximize Your AA 228 Quiz Scores
• Invasive Species
• Spades is a POMDP
• Reinforcement Learning Balancing of an Inverted Pendulum to any Degree
• Website Engagement
• Unbeatable Checkers Bot 9000
• Reward Prediction Error Under Uncertainty
• Martian Navigation POMDP
• ASTPrompterRoll
• Safe Handling of Intersection Events under other agents‚Äô Latent Driving styles (SHIELD)
• Adaptive Stock Trading with Reinforcement Learning
• Blackjack: Playing Optimally Through Q-Learning
• Smart Picks ‚Äì A Q-Learning Approach to Cinema
• Reinforcement Learning Algorithms for Connect 4
• Crafting Basketball Strategies with Reinforcement Learning
• POMDP Navigation performance for Orienteering
• Autonomous Lunar Landing with Deep Q-Learning
• Adaptive Mesh Refinement through Deep Reinforcement Learning
• Cracking the Connections Game
• Implementing Q-learning to Optimize Preflop Poker
• Optimal Shipping Schedules for Collaborating Blood Banks
• Optimizing Theme Park Experience Using POMDPs
• Deep Q-Networks with Snake
• Modeling Human Behavior in Poker
• SmartConnections: Using Q-Learning to Solve The NYT Connections
• Policy Learning for War: Modeling the Modified War Card Game with Markov Decision Processes
• Predicting Precipitation with Actor-Critic and Long Short-Term Memory
• Adaptive Path Planning for Urban Drone Delivery Under Uncertainty
• Applying MDPs and POMDPs to Enhance Decision-Making in Mario Party
• Turning Pages with Reinforcement: A Markov Decision Process Approach to Book Recommendation
• Optimizing Personalized Treatment with Markov Decision Processes
• Reinforcement Earning: RL-based Algorithmic Trading
• Playing Battleship Game with Deep Reinforcement Learning
• Fast Speculative Decoding using MDPs for Efficient Token Drafting
• Fresh Pages: Dynamic Book Recommendation for Genre Exploration using Monte Carlo Tree Search
• Flying in the Dark ‚Äì Drone Swarm Navigation with Uncertain Communication and Vision
• Training an Up’N Down Agent with DDQN
• Inside the Black Box: Bayesian Networks for Contextual Bandit Modeling
• Ataxx of the Monte Carlo: Online and Offline Learning Strategies for an Arcade Game
• Winner Winner Chicken Dinner: Reward Shaping for A2C Applied to Atari Freeway
• The Optimal Dating Path
• Solving Blackjack with An Infinite Deck with Reinforcement Learning
• Settling the Odds: AI Agents in Catan
• TikTokRL: Optimizing for TikTok Engagement
• MDP is All You Need
• 99 Ways to Win Ninety-Nine
• Looking Forward To Tetris
• Building Renewable Energy Grids using Monte Carlo Tree Search and Karger’s Algorithm
• Settling On A Better Method for Training Catan-Playing Agents
• Modeling Stanford Football Betting as a Markov Decision Process
• Keeping the Lights On for Campus: Using Deep Q-Learning and MDPs for Discrete and Continuous
• Micro-Energy Grid Optimization
• Santa Barbara Infrastructure Planning: A Comparison of Q-Learning and Evolutionary Algorithm –
• Binary Tree Search Policy Optimization
• Monopoly Masterminds One Tile at a Time
• Model Based State-Space Planning and EKF for Manipulator Arm Drone Guidance in a Partially Observable Environment
• Dynamic Frequency Band Selection for Radar Operation in the Presence of Interference
• Reinforcement Learning with Time Travel
• Single- and Multi-Agent Approaches to Equitable MELD-Driven Liver Allocation
• Reducing Patient No-Shows through Q-Learning Optimized Scheduling
• Leveraging Q-Learning for Uncertainty within Medical Diagnosis
• ADVERSARIAL AUTONOMOUS DRIVERS ON THE YAS MARINA CIRCUIT
• Using Regression Gradients to Optimize a Simple Policy for Mahjong‚Äã
• Reinforcement Wars: Will the Airline or the Passenger Win the Pricing Game?
• Optimizing Job Applications Under Uncertainty
• Fruitful Learning: Applying RL Algorithms to Suika Game
• Analysis of Q-Learning and POMDP Frameworks for Optimal Poker Strategies
• Imaginary-MCTS: Autonomous Computer Use Agents with Enhanced Online Planning Lunar Landing
• Multi-Robot Path Planning in a Grid World
• BookFind: A Novel Recommendation Algorithm using Markov Decision Processes
• MARLCar: Single- vs. Multi-Agent Reinforcement Learning in Car Racing
• Meow-kov Decisions: Reward Functions for an Exploding Kittens MDP
• Optimizing Cabo Strategy with Monte Carlo Tree Search Applied to a Novel Game Engine
• WiLDCARD: Winning Liar’s Dice with Calculative Agents and Reinforced Decision-Making
• RL Options Trading Strategies
• Optimizing Sea Lice Management in Norwegian Salmon Aquaculture Using Q-Learning
• Q-Learning for Blackjack: Simulation and Strategy Optimization
• DPO Training for Mathematical Problem Solving
• INVENTORY MANAGEMENT WITH Q-LEARNING AND DEEP Q-NETWORKS
• Optimal Regatta Sailing Strategy Under Uncertain Wind and Competitor Positions
• Shoot First, Think Later? Optimizing Soccer Decision Making with MDPs
• Large language model alignment via two-layer neural network feedback
• Dual-Agent Reinforcement Learning for Strategy Optimization in Gomoku
• Reinforcement Learning Stacking Strategy for Stock Trading
• Tetris: Game Playing Under Uncertainty
• Catan Conqueror: Building Bots to Rule the Island
• ParkFinder – Tackling Uncertainty in Finding Parking at Stanford University
• Decision-Making for a Two-Agent Adversarial Game
• Euchre Bot
• Reinforcement Learning Agents for Settlers of Caton Using PPO
• Mastering Pong with Deep Q-Learning
• Wheel of Fortune as a POMDP
• Going Bananas for Uncertainty: Creating a Bananagrams Agent with MCTS
• Evaluation of Application of Maximum Likeilhood Estimation Models to Mancala
• TerraSafeRL: Adaptive Single-Agent, Terrain-Aware Wildfire Evacuation with Dynamic Pathfinding
• The Pupper Parkour Challenge and a theoretical framework for hierarchical decision making
• Exploring Deep Behavioral Cloning with Synthetic Expert Data for 2048
• Learning the Art of Persuasion with Online Dialog Policy Planning
• Mineswept
• Optimal Agricultural Decisions Using Q-Learning
• Solving Investiture: A Stock Exchange Game
• Playing with Fireworks: Optimizing Agent Strategy Under Uncertainty in Hanabi
• Data-Driven Hurricane Evacuation Policy Optimization
• The Candy Crusher
• Employing Monte Carlo Tree Search for Aircraft Collision Avoidance during Temporary Flight
• Restrictions
• SupeRL Mario Bros
• Investment Decision Making
• Viewing Hyperparameter Tuning as a Sequential Decision-Making Problem
• Building No-Limit Texas Hold’Em Poker Agents with Deep Q-Learning and Proximal Policy Optimization
• Decentralized Earth Observation Planning in Satellite Constellations
• Lima’s Traffic Management Using POMDPs: A Q-Learning Approach for Efficient Control of Urban Traffic Lights
• Optimized Satellite Acquisition for Precise LEO GPS Positioning
• Guess Who Wins Guess Who?
• Adaptive Strategy Optimization for 2048 Using Reinforcement Learning
• A Study of the AlphaZero Framework Applied to Xiangqi
• Robust Pre-Computed Autonomy for Enceladus Orbilander
• RL & Blackjack
• Optimizing Strategy for Catching Pok√©mon in the Safari Zone Minigame
• Multi-Robot Navigation Using Sequential Decision Making Processes
• Monte Carlo Tree Search for Drone Navigation and Collision Prevention
• Evaluating Wordle Strategies Produced by Monte Carlo Tree Search
• WORDLE Solver
• Diagnostic Imaging in Radiology: Developing a Deep Learning Decision Support Tool
• Optimizing Uno with Forward Search RL
• UAV Swarm Control Under Uncertainty
• Satellite Task Scheduling using Markov Decision Process
• Adaptive Satellite Selection for GNSS Tracking Using Reinforcement Learning
• Hanabi RL Agent
• Finding the Root of Go
• Reinforcement Learning Control of Active Suspension System
• Pitch Perfect: Optimizing Baseball Pitch Selection With Reinforcement Learning
• Optimizing Rspiratory Management using Markov Decision Processes: A Reinforcement Learning
• Approach on the MIMIC-IV Dataset
• Pedagogical Bandits: Online Curriculum Learning for Knowledge Distillation
• Solving Plants vs Zombies with Monte Carlo Tree Search
• Dynamic Optimization and Balancing of Winning Strategies in Mahjong Using MCTS
• PokerBot
• Connect Four Conundrum
• Structural and Deep Learning for Video Game Marketing Analysis

Fall 2023

File index, Files

• To Skip or Not to Skip: Modeling Music Recommendation Systems with Markov Decision Processes
• Aligning language models towards better moral value judgements
• Who Did It? Using Beam Search with Rollouts to Model Independent Agents
• Safer Flight Planning Through Computational Decision Making
• Application of Reinforcement Learning in Options Hedging
• Optimizing Tetris with Deep Reinforcement Learning
• Prodaumatic 3000: Helping Product Managers Make Decisions through LLM-Enhanced Monte Carlo Tree Search
• Unscented Kalman Filter for State Estimation Under Fluctuating and Complex Nonlinear Dynamics
• Redundancy for Small Aircraft: Kalman Filtering for Heading and Altitude Prediction Under Uncertainty
• Optimizing Fish Strategy
• Improving Scientific Collaboration through RL Agent-based Social Connections
• Optimizing Fantasy Football Drafting with MCTS
• Memoized Upper Confidence bounds applied to Decision Tree Search
• Optimal Saber Fencing Decisions Using Q-Learning
• Collision Avoidance for eVTOL Airplanes using Partially Observable Markov Decision Processes
• Autonomous Helium-3 Mining on the Lunar Surface
• Development of an Optimal Strategy Bot to Play Fog of War Chess
• Model-Free Learning Applied to Optimal Blackjack Gameplay
• Optimizing Roguelike Video Game Strategies Using Reinforcement Learning
• Hyperparameter Optimization of Neural Networks Based on Q-learning
• Improving Seismic Resilience in Pivoting-Spine Structures: Smart Connections, Reinforcement Learning, and Loss Mitigation
• Portfolio Optimization with Q-Learning
• Navigating the UNO-verse: Using Q-Learning, Double Q-Learning, and SARSA to Play UNO!
• Cercano – A Parking Spot Near You!
• Wordle is a POMDP!
• Goal-based Investment Portfolio Optimization Tool Using Reinforcement Learning
• Exploration for Book Recommendation
• Mechanical ventilator management with reinforcement learning
• Understanding Partial Observability in Autonomous Highway Driving
  Hex game play
• Multi-Elevator Systems Optimization
• Adaptive Control of Hall Effect Thrusters Using Reinforced Learning and PDE State Estimation
• Using MDPs and Model-Free RL with Player Classification to Determine Optimal Poker Strategy
• To Invest or Not To Invest… That is the POMDP
• Playing Connect 4 Using Q-Learning
• QRemoveD: Extended Q-Learning for Debris-on-Debris Removal in Outer Space
• CLASSCONNECT: Building Educational Bridges with Branch and Bound
• Endowment Asset Allocation: A Reinforcement Learning Approach
• Applying Monte Carlo Tree Search To Among Us
• Bark Beetle Infestation Prevention by Sparse Sampling
• Autonomous Approach ATC with Partially Observable Aircraft Positions
• Melody Mastermind
• Can We Win Blackjack?
• Integrating Traditional and Machine Learning Techniques in Option Pricing: A Comprehensive Approach to Modeling American Equity Options
• Searching for a Reaction: Monte Carlo Tree Search Applied to Atomas
• The Ultimate Coinche Bot
• Sensor Placement Strategy Learning for Crowd Monitoring in Stadiums
• Exploring Optimal Strategy of Playing Blackjack Using Different Algorithms
• Reimagining Bus Routes with Q-Learning and an Equity Based Reward Model
• An MDP-Based Approach to Optimal Queue Selection in Supermarkets
• Modeling a Pair Trading Agent For Brazilian Bonds As A Partially-Observed Markov Decision Process
• Comparing Policy Search Methods for Optimal Quadcopter Control: Hooke-Jeeves vs Genetic Algorithms vs Cross Entropy
• A Novel Approach to Solving Physical Puzzles with Chain Reactions
• Clothing Inventory Predictor
• Drone Delivery Optimization Under Uncertainty
• Online Learning Approaches in Autonomous Driving.
• Heads-Up Poker Optimization
• Exploring Monte Carlo Methods for Gomoku
• Autonomous Underwater Vehicle Navigation in Uncertainty
• Under the Sea(weed): Improving Water Quality through Planting and Harvesting Safer Seaweed
• Model-Free Reinforcement Learning Methods for Playing Nim
• High-IQ Shot Selection With Q-Learning
• Siting Climate Resilience Hubs Using Q-Learning
• Boardgame Optimization through Neural-network Enhanced Reasoning
• Training an Agent to Beat Super Mario Bros. (1985)
• Optimal Earthquake-Prevention Renovations using Reinforcement Learning
• Training Reinforcement Learning Agents to Cross the Glass Bridge in Squid Game
• Exploring Memory In Offline Reinforcement Learning
• Reinforcement learning augmented model predictive control
• Quadcopter Control Learning with Policy Gradient Methods
• Multi-agent Path Finding as a Markov Game
• Reinforcement Learning for Optimal Candidate Selection
• From Gridlock to Green Light: Algorithmic Strategies for Smart Traffic Control
• Optimization of proportional–integral–derivative controller gains for autonomous vehicle path-tracking
• QTrader: Combining Qualitative and Quantitative Methods For Smarter Algorithmic Trading
• Memorar: A Reinforcement Learning-Based Space Repetition System
• Enhancing NFL Offensive Play Calling: A Data-Driven Decision-Making Model
• Decision-making in the Reversi game
• I, Robot meet DQL
• AlphaGOPS: Modelling the Game of Pure Strategy with Adaptive Monte-Carlo Tree Search
• Satellite Collision Avoidance Using Monte Carlo Tree Search
• Prediction of Smoker Status using Bio-signals
• Reactive Collision Avoidance in Robots: Applying Reinforcement Learning via Subsumption Architecture
• RNN-Tuning through Deep Q-Learning
• Genetic Algorithm Based Deep Q-Learning Approach To Algorithmic Trading: Developing, Training, and Testing a Rudimentary Agent
• Battleship Buster: Deep Function Approximation for Variants of Battleship
• Free Food Hunter
• Winning Draughts Championship: Checkers Agent
• Adversarial Carcassonne Agents
• Neural-MPPI: Estimating Vehicle Dynamics for Improved Sequential Decision Making in Autonomous Driving
• Tire Strategy Optimization for Formula 1
• On-the-fly motorsport pit stop strategy decisions with Q-Learning
• Cancer Treatment Policy Creation with Markov Decision Process Value Iteration
• Pandemic Campus Simulator
• Low Resource RLHF
• Deep Reinforcement Learning For Autonomous Vehicle Control
• Autonomous multi-agent Formula One races
• A Behaviorist Approach to Deep Q-Learning for Geological Forecasting and Risk Management
• QTetris: Tetris with Q-Learning
• Solving Dweep with Reinforcement Learning
• MAPS 2.0: Optimal Route Planning in San Francisco Considering Crime, Elevation, and Distance
• Using Q-Learning to Solve Cliff Problem
• Agile Earth Observation Satellite Tasking
• How Did The Chicken Cross The Road: Evaluating DQL with Additional Insights for Atari Freeway
• Solving Hangman with Reinforcement Learning Models
• Q-Learning for Fantasy Football Management
• Sampling-Based Monte Carlo Tree Search for
• Freeflyer Thruster Control
• Fighting the Smog: Finding crop-burning in small-holder farms in North India with Q-learning
• Poker as a POMDP
• Mao Master — An Agent for the Card Game Mao
• Reinforcement Learning for Car Racing
• A lost Rover
• Strategic Learning in Combat Sports: an RL Approach to Simulating Muay Thai Fights
• Building Poker Agents with Q-Learning and Deep Q-Networks
• Composing Music with RL Agents
• Lunar Logic- Intelligent Thrust Control Amid Noisy Observations, Wind Variability, and Engine Failures for Precise Spacecraft Landings
• Optimal trade execution as sequential decision making under uncertainty
• Robotic peg-in-hole assembly with reinforcement learning based exploration strategy
• WordleFS: Wordle Strategies with Forward Search
• Learn To Play StarCraft II
• QDP: Standard Cell Detail Placement via Q-Learning
• A Comparative Study of DQN and Dueling DDQN in Stochastic POMDP Environments
• Dynamic Bayesian Networks for Adaptive Collective Decision-Making
• RPS Revolution: Enhancing RL for Rock, Paper, Scissors
• An Exploration of Trends Among Various Methods of Solving 2048
• Enhanced Navigation and Obstacle Avoidance for the Visually Impaired: A Deep Q-Network Approach
• Optimizing Chemical Reactions for Product Yield using Reinforcement Learning
• Learning How to Walk Using Improved Reinforcement Learning Techniques
• Electric Bus Fleet Scheduling – a Reinforcement Learning Approach
• Maximizing Chance Encounters
• “Strategic Decisions in Uncertainty: Optimizing Play in 1010!”
• Gridworld Tag with Vision and Obstacles
• Mercury: An Offline Approximation Method For Enhanced Cardio Performance
• Tricky Trading Under Uncertainty —- Reinforcement Learning for the Figgie Card Game
• Safe Motion Optimization and Operational Trajectory Handling (S.M.O.O.T.H.)
• Offline Q-Learning with Linear Function Approximation for Robotic Peg Insertion
• Policy Search Method Evaluation using a Two-Parameter Reservoir Operation Policy
• Attention is Not All You Need For Offline Reinforcement Learning
• Designing Chemical Industrial Processes Under Uncertainty
• Modeling Prescribed Burns in California as a Markov Decision Process
• DeepQHoldem: Applying Deep Q-Learning to No-Limit Texas Hold’em Poker
• Highway Exit Policy with POMDPs
• Optimizing Energy Carbon Emissions and Cost for Grid-Interactive Efficient Buildings with Q-Learning
• Parametric Design Learning
• PPO v DQN: A Duel at the Limits of Handling
• SmartTidyBot
• FortniteRL: Decision Making in Dynamic Adversarial Environments
• Reinforcement Learning for Stock Trading
• Multi-Robot Autonomy Planning in a Grid World
• Music Recommendation With SARSA’
• Learning to be a World-Class Tennis Player with Reinforcement Learning
• Decision Making For Lost Cities
• Optimizing Employee Training Using Reinforcement Learning
• Settling the Unknown: Decision-Making in the Uncertain World of Catan
• Mini Bridge with Q-Learning
• A Restaurant Recommending System Based on Multi-Arm Bandits
• Crop Patterns: Projecting Crop Planting Dates in San Joaquin Valley Due to Climate Change
• Controlling the Government with RL
• Go, No, or CoHo SPCE
• Solving Minesweeper with RL and Online Planning
• Dynamic Prioritization for Organ Matching with Model-Free Reinforcement Learning
• Commuting on Stanford’s Campus: a Decision-Making Problem
• Q Learning and Deep Q Learning For Financial Decision Making
• Deep Q-Learning for self-driving car
• Navigating an Autonomous Vehicle in a Racing Environment with Competing Agents
• Deep Q Learning for Medical Triage
• Optimizing Graduate Student Life using Model-Free Reinforcement Learning
• Q-learning with Customized State Space Reduction on Atari Breakout Game
• Wizard Whiz: A Deep Q-Learning Agent for the Card Game Wizard
• Integrating Model-Free Reinforcement Learning for Dynamic Wildfire Risk Assessment and Firefighting Resource Allocation in California
• Optimizing Organ Allocation
• Modeling Macroeconomic Dynamics as a Stationary Markov Decision Process
• MDPs for Music Generation
• MCTS for Bananagrams
• Predicting Southbound Monarch Migrations with RNN’s
• Building a Texas Hold ‘Em Poker Agent
• Iteratively Improving Capabilities of Text-To-Image Models
• Stanford course planning with Sarsa-lambda
• Tab WhiRL: A Model Based RL Approach to Browser Memory Management
• Optimal Insulin Dosing for Type I Diabetes: Reinforcement Learning Approaches
• Intelligent Tutoring System: Providing practice or guided instruction
• “What’s Nine Plus Ten?” Finding An Optimal Policy for Blackjack
• Automated Euchre Play Using Deep Reinforcement Learning
• Calm Mind: A Reinforcement Learning Agent for Pokémon Battling
• Policy Iteration for Traffic Circles
• Making a Tetris Bot with Heuristic Search and Genetic Algorithms
• Exact State Planning for Repairing Persistent Methane Leaks
• Multi-Agent Planning in Unknown Environment using MCTS
• Offensive Strategy for the San Francisco 49ers – Can We Do Better Than Kyle Shanahan Using RL?
• Reinforcement Learning of RC Helicopter Control
• AlphaLiarsDice: Q-learning and MCTS for Liar’s Dice
• OptiLodge – An RL Model for Optimizing Airbnb Booking Costs
• Five star Movie
• Determinism in Connect 4 using Monte Carlo Tree Search
• Omasolved Poker
• John Q-Train: An AI Jazz Musician
• Optimal Policy for Blackjack with Card-Counting
• How to “do” school: Optimizing within injustice
• Monte Carlo Tree Search and Euchre
• Evaluating Model-Free Reinforcement Learning Approaches Towards Optimizing Thrust-Vectored Rocket Landings
• Reinforcement Learning For Fantasy Football
• Optimizing Traffic Light Phases to Improve Traffic Flow
• Mahjong Decision Making using One-Step Lookahead and Monte Carlo Tree Search
• Optimizing Mars Base Resource Management
• Deep Reinforcement Learning for Stock Market Trading
• Discovering Counterexamples to Graph Theoretic Conjectures with Monte Carlo Tree Search
• A Comparative Analysis of Kalman Filters for Satellite Attitude Determination
• Better Be Swift: Modeling and Optimizing Event Ticket Resale As A MDP Using Q-Learning
• Model Free Reinforcement Learning for On-Demand Delivery Optimization

Winter 2023

File index, Files

• Fantasy Ice Hockey Lineup Decisions with Q-Learning and SARSA
• Optimal Policy for Uber/Lyft drivers in the Bay Area
• Twenty-Twenty Learning: A 2048 solver powered by Deep Q-Networks
• Drag-based Reconfiguration of Spacecraft Formations Under Uncertainty
• Value Iteration applied to Orbital Debris Removal with a Satellite
• Mortal (Q)ombat: Training an AI agent with Reinforcement Learning to Play a Brawler Game
• Flipping the Bit: Explorations in Learning the Ising Model
• Optimal Strategy Generation for Pandemic Game Using Monte Carlo Tree Search
• Tropical Reforestation
• Queue RL
• ClutchRL: Using Q-Learning To Find The Optimal Policy To Win A Close Basketball Game
• Decision Making in Quadcopter Navigation with The Effects of Wind
• Reinforcement Learning Approaches for Sepsis Treatment
• Localization and path finding of a known environment
• Particle Filter For Autonomous Vehicle Handover
• Q-QWOP: Using Q-Learning for QWOP Policy Development
• Wordlebot: Improving Wordle Performance Using Forward Search
• Optimal Load Scheduling for Smart Homes
• Trajectory Optimization for Autonomous Parking Lot Cleaning using Q-Learning
• Comparison of Online Planning and Reinforcement Learning for Oil Spill Containment
• Estimating an Optimal Solution to Backgammon
• I ♥ RL: Using Q-Learning to Play Hearts
• AITA Judge Twitch Streamer
• Traffic Light Optimization Under Uncertainty
• Fuel Efficient Autonomous Driving
• Theseus and the Cyclops: Adventures in Navigation Using Monocular Depth Estimation
• Maximum Entropy Reinforcement Learning for Prompt Tuning
• Applying Reinforcement Learning and Online Planning to the Game ”Regenwormen”
• Blackjack with Card Counting
• Search and ResQ
• Optimal Operation of Renewable Energy Plus Storage Systems Using Reinforcement Learning
• Landing a Plane on Final Approach with Q-Learning
• Blackjack: Are the “Basic Strategies” Sufficient?
• Driving with Large Language Models
• Belief Updating for Improved Navigation in Wind
• Taxi Route Recommendations Using Reinforcement Learning
• Using Reinforcement Learning for Life and Death problem in Go
• Travelling with (Un)certainty
• Optimal Drone Navigation with Stochastic Dynamics
• Reinforcement Learning for Autonomous Navigation of Subterranean Environments
• Measuring potential effects of an intelligent tutoring system
• X’s and O’s: Optimization of Tic-Tac-Toe
• Autonomous Driving in a Roundabout with Rule-Breaking Agents
• Playing blackjack using reinforcement learning
• Playing Mancala via Reinforcement Learning
• Fantasy Football Team Draft Sequential Decision Process
• Optimizing Store Inventory Management with Q-learning
• Deep Double Q Network for Lunar Lander
• Optimal Online Ad Allocation Under Uncertainty
• Reinforcement Learning for Chess Variants
• A Chess Engine on Ice: Developing an Automated Curling Skip Capable of Decision Making under Uncertainty
• Online Planning with Terrain Friction Estimation for Safe Rover Navigation
• Simple Reinforcement Learning for Space Mining Bots
• Preventing the Spread of Wind-Driven Wildfires with Partially Observable Markov Decision Processes
• Making a (Good) Pokemon 1v1 Battle Agent
• Learning to Play Backgammon Using Reinforcement Learning
• Self-Driving School Bus for Stanford Campus
• Deep Q-learning Network on Atari Game
• FishBot: Decision Making in Canadian Fish
• Modeling Deceit in Coup
• Buying a House without Going Broke
• Taxi Route Optimization using Reinforcement Learning
• Minesweeper: A Reinforcement Learning Approach
• Reinforcement Learning for Robotic Arm Reach Problem
• Optimal Policy for Ground-to-Satellite Communication using Reinforcement Learning
• Feel-Good Othello-Bot: Othello-Player Agent to Bring Satisfying Win for Human Player
• Value Iteration and Contraceptive Method Choice: Applying Algorithmic Decision Making to Women’s Health Practices
• Settlers of Catan Settlement Placement Optimization with Deep Q-Learning
• A Markov-Based Approach to Evaluate the Optimal Position of Zeposia in the Treatment of Ulcerative Colitis
• Multi-Rover Exploration using Dec-POMDPs
• Optimizing Green Infrastructure Citing for Urban Flood Mitigation
• Optimal Elevator Algorithm
• Transmission Expansion for Offshore Wind Farms Under Uncertainty
• Card-Counting Blackjack Agent
• Tic-Tac-Toe: An Unbeatable Foe
• How do we walk? Controlling joint motor torque to achieve balanced movement
• How to not lose your starship: Strategy Optimization for Corellian Spike
• Geometry Dash AI
• Planar Manipulation of an Object with Unknown and Changing Center of Mass
• Ping Pong Prodigy
• Solving Half Cheetah Problem Using Offline RL
• Solving Wordle using Information Theory, Minimax Algorithms, and Q-Learning
• Applying Q-Learning to Uno
• Rocket Self-Landing using Proximal Policy Optimization
• Determining an optimal screening policy for colorectal cancer
• Code-Lint: Code Generation with Reinforcement Learning incorporating Linter Feedback
• Safe Navigation: Training Autonomous Vehicles using Deep Reinforcement Learning in CARLA
• Implementing Q-learning to Obtain Control Policy for Residential Battery System
• Cubo: Your Friendly Neighborhood Rolling Cube
• Deep Reinforcement Learning for In-Flight Calibration of a Lunar Lander
• Learning and Improving the Intelligent Driver Model with Reinforcement Learning
• Safe Lane Merging for Autonomous Cars on the Highway through Markov Decision Process
• Solving Wordle Using Monte Carlo Tree Search
• Prepare to AI: Model-Free Reinforcement Learning for Dark Souls 1
• Dynamic Efficient Sampling Policy Learning – An Investigation of DRL-based Atari Game Playing
• Cleaning Up with Q-Learning: Optimizing Roomba Navigation in Unknown Environments
• A Novel Reward Shaping Function for Single-Player Mahjong
• Evaluating the Disposition Effect using Reinforcement Learning
• Playing Risk with Reinforcement Learning
• Using Q-Learning to Optimize Fantasy Premier League
• Improving Matches in Dynamic Organ Exchanges
• Exploring Crop Irrigation Decisions Under Climate Uncertainty
• Monte Carlo Tree Search Applied to Spaceship Maze
• Adaptive Water Supply Desalination Planning under Hydrological Uncertainty
• Cleaning the streets with RL
• UAV Search and Rescue Optimization
• Greedy Search for Optimal Soil Sample Analysis
• Modeling Strategies for the Conservation of Florida Manatees using POMDP Methods
• Building an Agent for Settlers of Catan
• Applying Reinforcement Learning to Pac-Man
• Understanding Push-Fold Pre-Flop Strategy for Heads-Up NLH Poker
• Local Search Approaches to Trading Strategy Optimization in Animal Crossing: New Horizons
• A Julia Package for Calculating the Gittins Index
• Planning Flood Evacuations Using Monte Carlo Tree Search
• Random Adaption to Trawler Problem for Ocean Search and Rescue
• Energy Markets as an MDP
• POMDPoker
• Get out of the way! Vehicle-Object Collision Avoidance
• Developing An Automated 2D Simulation For Parking a Car
• Bidding Strategy for Residential Solar and Storage in Transactive Electricity Market using Reinforcement Learning
• Reinforcement Learning for Optimal Policy in Texas Hold’em Game
• Wildfire Evacuation Planning: Using MDPs to go Beyond Surveillance
• Solving the Taxi-v3 Problem Using Model-Free Reinforcement Learning
• Modeling the Board Game Secret Hitler as a Decision Making Problem
• Beating Cube Field
• Battery Temperature Control for Deep Space Missions
• Is There an “I” in Team? An Exploration of Capture the Flag Reinforcement Learning Agents
• Reinforcement Learning Based Magnetic Detumbling of Low Earth Orbit Satellites
• Multi-Agent Control in Partially Observable Environment
• Payment Optimization for Combination Shoppers and Delivery Drivers using Deep Q Learning with Experience Replay
• Q-Learning for a Traveling Salesman Problem Variant in Modified Landmark Traversal
• Multiagent Coordination of Space Debris Cleanup under Uncertainty
• Rapid Calibration of a Cellular-Resolution Bidirectional Neural Interface
• Smart Water Heater via Sparse Sampling
• Designing a Reliable Crew Member
• Bayesian Graphical and Deep Q-Learning Agents in Colonel Blotto Game
• RL Agent for Fish
• FlyGenie: Minimize your flight ticket purchase costs
• Helping and Hindering: Recursive Reasoning in a Multi-Agent MDP
• SARSA Applications to UNO!
• Development and Evaluation of a Reinforcement Learning Model to Optimize Discharge Decisions in Hospital Emergency Departments
• CALIBRATING BLACK-BOX TRANSITION MODELS FOR MDP PLANNING USING CONFORMAL PREDICTION
• Decision-Making Algorithms for Winning Coinche
• Baseball Pitch Analytics
• Optimal sequential decision making for managing ecosystem with POMDP
• Particle Filter for Battery Aging State Estimation
• Using Deep Q-Learning to Improve Automated Train Systems
• Satellite Collision Avoidance Through Neural Networks
• CheatGPT: Evaluating Robustness of Language Model Detectors to Adversarial Prompting
• Guided Decision Making Under Uncertainty
• Automated Theorem Proving with Graph Neural Network
• Scrabble Engine Based on MuZero
• Applying State Estimation Techniques to Improve Stability of a Ball-Balancing Robot
• Electric Vehicle Route Planning with Uncertainty in Charger Wait Times
• RL-ATC: Multi-Agent Reinforcement Learning for On-the-Ground Air Traffic Control and Planning
• Effect of Additional Information on Learning to Bid in First Price Auctions
• Tham Luang Cave Rescue: A Reinforcement Learning Approach
• Reinforcement Learning Strategies for Love Letter
• Building a Poker Agent

Fall 2021

Public Reports

• Strategy Optimization in Choice Poker
• Deep Reinforcement Learning Agents that Run with Scissors
• Optimizing Pointing Sequences with Resource Constraints in Large Satellite Formations Using Reinforcement Learning
• Reinforcement Learning for Label Noise in Machine Learning Datasets
• Augmentative and Alternative Communication using Bayesian Inference
• Decision Making under Uncertainty for an Autonomous Tennis Ball-Bot
• Opinion Formation Dynamics in Multi-Agent Swarms
• An Investigation of Deep Q-Network Variants for the Cartpole-v0 Task
• Using Reinforcement Learning with Curriculum Learning and Reward Shaping to Train a Rocket League Kickoff Bot
• Single Agent Pick-Ups of Stochastic Packages with Traffic Impediment Using Reinforcement Learning and Value Iteration
• Super Awesome Respectable Sushi Algorithm (SARSA) to Beat Sushi Go!
• Optimizing Grocery Purchases Using Reinforcement Learning
• Self-Driving Policy via Q-learning and Forward Search
• Modeling Mafia as a POMDP
• Efficient Cycling in Uncertain Environments
• Pixelcopter-RL: Building Reinforcement Learning Algorithms for Playing Pixelcopter
• Online Planning Strategies in Battleship
• Reinforcement Learning (Q-Learning) and Partially Observable Markov Decision Processes (POMDP) in the Presidents Card Game
• Best Response Computation in Multiplayer Imperfect-Information Stochastic Games
• We Finally Learned How to Survive the Circle of Death
• Reinforcement Learning For Robotic Mars Exploration
• Semi-active Vibration Damping Control of Wind Turbines using Q-Learning
• Teaching a Robot to Walk Using Reinforcement Learning
• Playing Minesweeper via Model-free Reinforcement Learning
• Deep Q-network for Atari Breakout
• Learning Cart-Pole with a Quantum Genetic Reinforcement Learning Algorithm
• Fantasy Football Roster Prioritization Using Q-Learning
• A Recurrent Model of Approximate Enumeration
• Optimizing Wind Turbine Placement Subject to Turbine Wakes

Public Video Reports

• Pursuit Game: A Case Study in Multi-agent Reinforcement Learning
• RL for Autonomous Vehicles
• Scum!
• QWOP with Value Function Approximation and Neural Networks
• Rocket Landing Problem
• Self Driving under 2D-Scenarios

Fall 2020

Public Reports

• Enterprise Server Anomaly Detection System
• Decision-Making Towards a Multi-Use Framework for Grid-Scale Energy Storage
• Monte Carlo Simulation of production multiphase flow for better evaluation of project decisions
• Beating Blackjack – A Reinforcement Learning Approach
• Settlers of Catan Simulator
• Curriculum Learning with Snake
• ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models
• Learning to Play Euchre With Model-Free Reinforcement Learning
• Optimizing Blackjack Strategy with Reinforcement Learning
• Safe Autonomous Driving Through a Crosswalk
• Online Planning Methodologies in Settlers of Catan
• What’s in a Game: Solving 2048 with Reinforcement Learning
• Automating the Go-Around Decision with Markov Decision Processes and Dynamic Policy Switching
• The Bidding Elimination Game
• Ocean cleanup using sea roombas
• Monte Carlo Tree Search Applied to Plants vs. Zombies
• Winning Uno With Reinforcement Learning
• Model-free Q-learning of Blackjack
• Linearized Kalman Filter for Relative Spacecraft Motion
• Census Worker Allocation under Uncertainty
• Online Planning Strategies for Gin Rummy
• RAWR: Algorithm for Dungeons and Dragons Strategy Optimization

Public Video Reports

• Optimizing US Medevac Dispatch Policy in Afghanistan
• Optimized Trading Ensembles
• Generate Paint Animation with Reinforcement Learning
• ‘Half-Deep’ Actor-Critic RL Method for Predicting Fire Spread on 3m Resolution Imagery
• Building Recommendation Systems with Reinforcement Learning
• Evaluation and Comparison of Deep Q-Network and Deep SARSA on the task of Mario Kart
• COVID Transmission and Economic Impacts Model
• Comparing Reinforcement Learning Algorithms with Slime Volleyball
• Codenames AI: An algorithm to calculate the best decision a spymaster could make in a game of Codenames
• Satellite Noncooperative Trajectory Planning
• Hello Othello – making different agents to beat the game of Othello
• Designing a Connect-4 AI
• Bridge RL Agent
• Elevator Scheduling and Control
• Liar’s Dice

Other Titles

• Tic Tac Toe Solver
• Beating the house in Blackjack
• Effect of Noise on Learning a Planar Pushing Task using SAC
• ResQNet: Finding Optimal Fire Rescue Routes
• COVID Chatbot
• Regularized Follow-the-Leader in Online MDP for Efficient Topographical Mapping
• Learning POMDP model parameters from missing observations
• Reinforcement Learning for No-Limit Texas Hold ‘Em with Bomb Pots
• Identifying Optimal Locations for Satellite Image Capture
• Diet Conscious Meal Planner
• Mitigating Risk of Public Transit during COVID-19
• Predicting the Match: Using Bayesian Networks to Predict Professional Tennis Outcomes
• Efficient Single-Agent Capture of a Moving Target
• Q-Learning Applied to the Taxi Problem
• Settlers of CATAN
• Autonomous Snake
• Q-Learning for Pre-Flop Texas Hold ‘Em
• Deep RL for Atari Games
• Simulating a D&D Encounter with Q-Learning
• Deep RL for Automated Stock Trading
• Dating Under Uncertainty
• Retinal Implant Electrical Stimulation via RL
• Batch Offline RL in the Healthcare Setting
• Computer Caddy – Using RL to advice Golfers’ Club Selection
• RL for Fischer Random Chess
• Timely Decision Making with Probability Path Model
• Satellite-Imagery Based Poverty Level Evaluation System in Mexico with Deep RL Approach
• Pokemon Showdown
• Deep RL for Space Invaders
• Learning to Run
• RL-Based Control of Policy Selection in Near-Accident Scenarios
• Model Predictive Control for an Aircraft Autopilot
• Finding Inharmonic Timbres Locally Consonant with Arbitrary Scales
• Escape Roomba
• Driving in Traffic
• Playing Snake
• The 2020 FLatland Challenge
• Elevator Scheduling with Neural Q-Learning
• Optimizing Immunotherapy Treatment using RL
• Modeling Leduc Hold ‘Em Poker
• Auto Trading System Using Q-Learning
• Energy System Modeling
• Optimizing Fox in the Forest through RL
• Learning Gin Rummy
• Car Racing with Deep RL
• Sequential Decision Making for Mineral Exploration
• Advanced Driver Assistance Systems
• Learning to Play Stargunner with Deep Q-Networks
• A Fourth-and-Goal Football Recommender System
• Algorithms for Motion Planning
• Playing Farkle
• Connect 4: A Survey of Different RL Techniques to Destroy Your Pride
• Decision Making in the word game, Codenames
• Reinforcement Learning Approaches for An Adversarial Snake Agent
• An Attention-Based, Reinforcement-Learned Heuristic Solver for the Double Travelling Salesman Problem With Multiple Stacks
• Uncertainty Aware Model-Based Policy Optimization
• Navigating the Four-Way Stop Autonomously
• Ground Water Remediation Using Sequential Decision Making
• Final Project: Satellite Collision Avoidance
• Q Learning for 4th Down Decision Making in the NFL
• Q-Learning for the Game of Nim: Does The Agent Learn a Combinatorially Optimal Strategy On Its Own?
• Contextual Bandit Algorithms in Recommender Systems
• A Comparison of Reinforcement Learning Methods for Autonomous Navigation
• Reinforcement Learning for Behavior Planning in Intersections for Autonomous Vehicles
• Reinforcement Learning for Pacman Capture the Flag
• Comparing Different Optimization Techniques for Learning Continuous Control with Neural Networks
• Autonomous Exploration in Subterranean Environments
• Improving Image Denoising through Decision Making
• Using MDPs to Optimally Allocate Funds
• Explanations Meet Decision Theory
• Learning Policies for Adaptive LiDAR Scanning with POMDPs
• Cautious Markov Games: A New Framework for Human-Robot Interaction
• Selecting a multibasis community structure for the connectome
• Reinforcement Learning Techniques for Long-Term Trading and Portfolio Management
• Optimal Asset Allocation with Markov Decision Processes
• Symbolic Regression with Bayesian Networks
• Scheduling battery charging using deep reinforcement learning
• Online Knapsack Problem Using Reinforcement Learning
• Policy gradient optimization for
• Resource Allocation for Wildfire Prevention
• Using Reinforcement Learning to Play Omaha
• Fraud Detection for Mobile Payments using Bayesian Network and CNN
• Neuro-Adaptive Artificial Neural Networks for Reinforcement Learning
• AI Agent for Qwirkle
• Learning Optimal Wildfire Suppression Policies With Reinforcement Learning
• Bid Smart with Uncertainty: An Autonomous Bidder
• AA228/CS238 Final Report
• Modeling Identification of Approaching Aircraft as a POMDP
• Short-Term Trading Policies for Bitcoin Cryptocurrency Using Q-learning
• Reinforcement Learning of a Battery Power Schedule for a Short-Haul Hybrid-Electric Aircraft Mission
• Autonomous Helicopter Control for Rocket Recovery
• Reinforcement Learning Strategies Solving Game Gomoku
• A Wildfire Evacuation Recommendation System
• Battleship with Alogrithm
• Developing an Optimal Structure for Breast Cancer Single Cell Classification
• Utilizing Deep Q Networks to Optimally Execute Stock Market Entrance and Exit Strategies
• Online Planning for a Grid World POMDP
• Contingency Manager Agent for Safe UAV Autonomous Operations
• Solving Mastermind as a POMDP
• Simulated Drone Flight with Advantaged Actor Critic Reinforced Learning in 2 and 3 Dimensions
• Solving Queueing Problem Using Monte Carlo Tree Search
• Bayesian Structure Learning on NFL play data
• Multi-Agent Rendezvous Using Reinforcement Learning
• Dynamic Portfolio Optimization
• Fairness and Efficiency in Multi-Portfolio Liquidation: An Multiple-Agent Deep Reinforcement Learning Approach
• Evaluating Poker Hands
• Saving Artificial Intelligence Clinician
• Evaluation of online trajectory planning methods for autonomous vehicles
• Solving Leduc Hold’em Counterfactual Regret Minimization
• From aerospace guidance to COVID-19: Tutorial for the application of the Kalman filter to track COVID-19
• A Reinforcement Learning Algorithm for Recycling Plants
• Monte Carlo Tree Search with Repetitive Self-Play for Tic-Tac-Toe
• Developing a Decision Making Agent to Play RISK

Fall 2019

Public Reports

• A Waypoint-Based Aircraft-Rerouting Routine for Severe Weather Events
• Solving The Lunar Lander Problem under Uncertainty using Reinforcement Learning
• Racetrack Navigation on OpenAIGym with Deep Reinforcement Learning
• Reinforcement Learning for PixelCopter
• MDPs and Value Iteration for Microgrid Trade Policies
• Robust 3D Object Tracking in Autonomous Vehicles
• Learning a Reward Function for Scrabble Using Q-Learning
• Cooperative Multi-agent Localization
• Modeling Marketing with Multi-Arm Bandits
• Making Business Decisions with AI
• Application of Monte Carlo Tree Search to Multi-Agent Maze Solving
• My Dinosaur Project
• Reinforcement Learning Based Quadcopter Controller
• Monte Carlo Blackjack
• Tag on Graphs
• Autonomous Offroading : Terrain Aware Motion Planning for Ground Vehicles
• Optimizing Online Advertising Strategies
• MDP Formulation for Optimal Wind Turbine Placement
• A Decision-Making Agent for Open-Water Swimming
• Reinforcement Learning for solving Coda Game
• Goal-driven Navigation of an Unknown Environment with Monte Carlo Tree Search
• Aircraft Traffic Control with Reinforcement Learning
• Reinforcement Learning for Connect Four
• Finding an Optimal Route: Minimizing Police Stops
• Varying Racing Line Deviation Penalties to Analyze Passing Performance
• Solving an Esoteric Card Game with Reinforcement Learning
• Post-Earthquake To-Hospital Transportation Planning Given Uncertainty In Road Network Condition
• Resource Allocation in Schedule Constrained Research and Development Programs
• Surviving Tinder: A Decision Theoretic Modeling of Tinder via POMDPs
• Multi-Segment Dynamic Pricing for Airline Tickets Using Model-Free Reinforcement Learning
• Multi-Agent Flocking Behavior using a Modified POMDP
• Reinforcement Learning For Peak Shaving with Batteries
• Finding the Optimal Haptic Assistance Policy for the Learning of a Motor Task using Deep Q-Learning
• Optimization of Insulin Dosing in Diabetic Patients with POMDPs
• GPS Spoofing Detection
• Finding Rhythm in Music Using Kalman Filters Optimized with Local Search
• Dynamic Glucose Monitoring with Partially Observable Markov Decision Processes
• Landing on the Moon with Deep Deterministic Policy Gradients
• Decision-Making in the Context of Unconventional Oil Well Drilling Operations
• Rock, Paper, Scissors, Go! Learning Probabilistic Models with Game Theory & Bayesian Model Estimation
• Optimal Predictive Maintenance Scheduling of Aircraft

Other Titles

• Linear Array Target Motion Analysis Using POMDPs
• Speed or Safety?: Calculating Urban Walking Routes Based on Probability of Crime and Foot Traffic
• AlphaGomoku
• Modelling Uncertainty in Dynamic Real-time Multimodal Routing Problems
• Reinforcement Learning for Portfolio Allocation
• Preparation of Papers for AIAA Technical Conferences
• Autonomous Racing
• Deep Learning Enabled Uncorrelated Space Observation Association
• Landing a Lunar Spacecraft with Deep Q-Learning
• POkerMDP: Decision Making for Poker
• 1V1 Leduc Hold’em Bot
• Political Influencers: Using Election Finance Data to Analyze Campaign Success via Bayesian Networks
• Developing AI Policies for Street Fighter via Q-learning
• Impact of Market Technical Indicators On Future Stock Prices Using Reinforcement Learning
• Allocation of Hearts for Transplant as an MDP
• Multi-Agent Reinforcement Learning in a 2D Environment for Transportation Optimization
• Planning under Uncertainty for Discrete Robotic Navigation with Partial Observability
• Deep Reinforcement Learning Applied to Mid-Frequency Trading
• Application of Subspace Identification for Classification of Neural-Activity during Decision-Making
• Using Markov-Decision Processes to Design Betting Strategies for the NFL
• Maneuvering Characteristics Control Systems using Discrete-Time MDPs
• MDP Based Motion Planning In Unsignaled Intersections
• Competitive Blackjack Using Reinforcement Learning
• Modelling Pedestrian Vehicle Interaction at Stop Sign using Markov Decision Process
• Jeopardy! Wagering Under Uncertainty
• Love Letters Under Uncertainty
• Playing The Resistance with a POMDP
• Robotic Simultaneous Localization and Mapping with 2D Laser Scan
• Mars Rover: Navigating an Uncertain World
• Modeling Blood Donations Over Time as a POMDP
• Reinforcement Learning for Control on OpenAI Gym Environments
• Playing Connect 4 using Reinforcement Learning
• Evaluation of Reduced Algorithmic Complexity for Grasping Tasks by Using a Novel Underactuated Curling Grasper with Reinforcement Learning
• Optimizing Strategies for Settlers of Catan
• Exploring Search Algorithms for Klondike Solitaire
• A Sparse Sampling Control Strategy for Risk Minimization during Stretchable Sensor Network Deployment
• Computing Strategies for the 7 Wonders Board Game
• POMDP modeling of stochastic Tetris
• Solving a Maze with Doors and Hidden Tigers
• Playing “Dominion” with Deep Reinforcement Learning
• Delivery Vehicle Navigation in Crowd with Reinforcement Learning
• Capturing Uncertainty in a Multi-Modal Setting With JRMOT: A Real-Time 2D-3D Multi-Object Tracker
• Decentralized Satellite Network Communication
• Seismic Network Planning
• Reinforcement Learning for PaoDeKuai, A Card Game
• Training A Bai Fen Agent with Reinforcement Learning
• Decision Making for Launch Cancellation Based Upon Storm Conditions
• Optimizing for the Competitive Edge: Modeling Sequential Binary Decision Making for Two Competing Firms
• Datacenter Equipment Maintenance Optimization
• To Heat Or Not To Heat: Reinforcement Learning for Optimal Residential Water Heater Control
• Learning to Play Snake Game with Deep Reinforcement Learning
• Optimal Traffic Light Control for Efficient City Transportation
• Modeling NBA Point Spread Betting as an MDP
• Solving a car racing game using Reinforcement Learning
• Is Uncertainty Really Harmful: Solving Partially Observable Lunar Lander Problem with Deep Reinforcement Learning
• Autonomous Navigation of an RC Boat Under a POMDP Framework
• Evaluating the Bayes-Adaptive MDP Framework on Stochastic Gridworld Environments
• Value Iteration with Enhanced Action Space for Path Planning
• The Medical Triage Problem: Improving Hospitals’ Admission Decisions
• Optimal Route Selection for Riders in Toronto
• Model Free Learning for Optimal Power Grid Management
• Wasting Less Time on the Road Using MDPs
• Learning User Preferences to Produce Sequential Movie Recommendations
• A Comparison of Learning Based Control Methods for Optimal Trajectory Tracking with a Quadrotor
• Artificial Pancreas: Q-Learning Based Control for Closed-loop Insulin Delivery Systems
• Navigating in an Uncertain World
• Teaching an Autonomous Car to Drive through an Intersection with POMDPs
• Atomic structure minimization using simulated annealing with a MCTS temperature scheme
• AI Game Player for 2048
• Deep Q-Learning with GARCH for Stock Volatility Trading
• Learning to Become President
• Solving GNSS Integrity-Based Path Planning in Urban Environments via a POMDP Framework
• Reservoir operation under climate uncertainty
• Reinforcement Learning for Maze Solving
• Using Reinforcement Learning to Find Basins of Attraction
• Planning for Asteroid Prospecting Missions with POMDPs
• Human-Aware Robot Motion Planner
• Determining Federal Funds Rate Changes – Hike / Cut / Hold – Under Economic Uncertainty
• Simulating Work-Life Balance with POMDP
• Solving 2048 as a Markov Decision Process
• Accounting for Delay in Dynamic Resource Allocation for Wildfire Suppression – a POMDP Approach
• Daily Allocation of Assets with Distinct Risk Profiles using Reinforcement Learning
• LocoNets for Deep Reinforcement Learning
• Exploring a full joint observability game with Markov decision processes
• Deep Bayesian Active Learning for Multiple Correct Outputs
• Convolutionally Reducing Markov Decision Processes
• Robust Decision Making Agent for Frozen Lake
• Tic-Tac-Toe How Many In A Row?
• Turbomachinery Optimization Under Uncertainty
• Devising a Policy for Liar’s Dice Using Model Free Reinforcement Learning
• Political Compromises: an Iterative Game of Prisoner’s Dilemma
• Optimal Home Energy System Management using Reinforcement Learning
• Drone Tracking in a 2-dimentional Grid using Particle Filter Algorithm
• Deep Reinforcement Learning for Traffic Signal Control
• A Deep Reinforcement Learning Approach to Recommender Systems
• FlyCroTugs – Collaborative Object Manipulation Using Flying Tugs
• Local Approximation Q-Learning for a Simplified Satellite Reconnaissance Mission
• Developing Policies for Blackjack Using Reinforcement Learning
• Applying Q-learning to the Homicidal Chauffeur Problem
• Optimal Satellite Detumbling through Reinforcement Learning
• Active Preference-Based Gaussian Process Regression for Reward Learning and Optimization
• A Comparative Study on Heart Disease Prediction
• Robot Navigation with Human Intent Uncertainty
• Conquering the Queen of Spades: A Hearts Agent
• Using Markov Decision Processes to Predict Soccer Player Market Value
• Effectiveness of Recurrent Network for Partially-Observable MDPs
• Capture The Flag
• Predicting uncertainty
• Optimal Asset Allocation with Markov Decision Processes
• Nets on Nets: Using Bayesian Networks to Predict Supplier Links in Economic Networks
• Playing 2048 With Reinforcement Learning
• Trading strategies using deep reinforcement learning with news and time series stock data
• Modeling Contract Bridge as a POMDP
• Solving Rubik’s Cubes Using Milestones
• Playing 2048 with Deep Reinforcement Learning
• An Approximate Dynamic Programming Minimum-Time Guidance Policy for High Altitude Balloons
• Identifying Bots on Twitter
• Approaches to Model-Free Blackjack
• Jumping Robot Simulator: An Exploration of Methods to Teach a Bio-Inspired Frog Robot to Navigate
• Air Traffic Control Tower Policy for Terminal Environment Operations
• Managing a Prediction Market Portfolio
• Applying Partially Observable Markov Decision Making Processes to a Product Recommendation System
• Self-Driving Under Uncertainty
• Reinforcement Learning for QWOP
• Modeling Macroeconomic Phenomena with Multi-Agent Reinforcement Learning
• Optimal Learning Policy via POMDP planning
• AI Guidance for Thermalling in a Glider
• Decision Making For Profit: Portfolio Management using Deep Reinforcement Learning
• Self-play Reinforcement Learning for Open-face Chinese Poker
• Feature Constrained Graph Generation with a Modified Multi-Kernel Kronecker Model
• Sensor Fusion of IMU and LiDAR Data Using a Multirate Extended Kalman Filter
• Optimizing Empiric Antibiotic Delivery in the Emergency Department
• The Task Completion Game
• Optimizing Modified Mini-Metro (M³)
• Improving Pragmatic Inferences with BERT and Rational Speech Act Framework and Data Augmentation
• Deep Q-Learning for Playing Hanabi as a POMDP
• A Comparative Study on Heart Disease Prediction

Fall 2018

Public Reports

• Escape Roomba
• ChallengeMate: A Self-Adjusting Dynamic Difficulty Chess Computer
• Aggregated Electric Vehicle Charging Control for Power Grid Ancillary Service Provision
• UAV Autonomous Landing on a Moving Platform
• BetaCube: A Deep Reinforcement Learning Approach to Solving 2x2x2 Rubik’s Cubes Without Human Knowledge
• Modelling the Design of a Nutritionally Optimal Meal Plan on a Budget as a Partially Observable Markov Decision Process
• Applications of Reinforcement Learning Methods to Efficient Allocation of Testing Resources
• Going Places: Modeling a Public Transportation System using Reinforcement Learning
• Tuning online algorithms for autonomous agents
• AA228 — Optional Final Project: Escape Roomba
• Designing Short-Term Trading Policies for Litecoin Cryptocurrency Using Reinforcement Learning Algorithms
• HUBERT, Our FreeCiv AI
• Using POMDPs to Learn Language in a Spatial Reference Game
• Campaign Funding Under Uncertainty
• DOPE CARS: Deciding Optimally How to Efficiently Charge Automotives with Renewable Energy Sources
• Optimization of Sparse Sensor Network in Wind Farms using Reinforcement Learning
• Deep Curiosity Networks
• Reinforcement Learning for Solving Yahtzee
• Solving Coup as an MDP/POMDP
• Modelling Optimal Tennis Decisions with Reinforcement Learning
• Identifying Fraudulent Transactions in Mobile Payments
• Maximizing Profit from Battery Operation on the Grid Given Future Price Uncertainty
• Agent Q Plays Texas Hold’em
• Decision Making Under Uncertainty for Urban Driving
• Learning Reward Functions for Optimal Highway Merging
• Perceptron Q-learning Applied to Super Smash Bros Melee
• Path Planning with Dynamic Obstacle Avoidance for a Jumping-Enabled Robot
• Offline and Online MDP Path Planning Under Obstacle Uncertainty
• Navigating Intersections Through Mutual Consensus: An Approach For Autonomous Vehicles
• Reinforcement Learning for Exploding Kittens
• Applying Monte Carlo Tree Search to the Persistent Surveillance Problem
• Predicting the Game: Using Deep Learning and Markov Decision Processes to predict English Premier League Outcomes
• Optimally Escaping a Room Using POMDPs
• Solving Escape Roomba
• Reinforcement Learning for a Simple Racing Game
• Optimal Battle Strategy in Pokemon using Reinforcement Learning
• Reinforcement Learning for Enduro
• Metabuilder: Learning the Optimal Deep Network Architecture
• Exemplar Retrieval for Enhancing RNN-based POMDP Models
• Offline and Online POMDP Solution Approaches for Roomba Navigation
• Reinforcement Learning based Suspension Dampening Control System for Automotive Applications

Other Titles (excluding optional final projects)

• Occlusion Handling for Local Path Planning with Stereo Vision
• Pre-Flop Betting Policy in Poker
• Optimal Impulsive Maneuver Times for Simultaneous Imaging and Gravity Recovery of an Asteroid
• Monte-Carlo Planning in Subsurface Resource Development
• Learning to Win at Go-Stop
• Police Officer Distribution
• Optimizing Road Construction to Improve Traffic Conditions Using Reinforcement Learning
• Q-Learning for Casino Hold’em
• Modeling a Connected Highway Merge as a POMDP Using Dynamic GPS Error
• Figure 8 Race Track Optimal and Safe Driving
• Predictive Maintenance of Trucks using POMDPs
• Predictive Models for Maximizing Return on Agriculture given Location and Temperature
• A Policy to Deal With Delay Uncertainty
• Reinforcement Learning Methods for Energy Microgrids
• Boom! Tetris for Bot – Designing a Reinforcement Learning Framework for NES Tetris
• Hidden Markov Models for Economic Cycle Regime Estimation
• Push Me: Optimizing Notification Timing to Promote Physical Activity
• Resource Allocation for Floridian Hurricanes
• Motion Planning in Human-Robot Interaction Using Reinforcement Learning
• Automated Neural Network Architecture Tuning with Reinforcement Learning
• Imitation Learning in OpenAI Gym with Reward Shaping
• Collision Avoidance for Unmanned Rockets using Markov Decision Processes
• MDP Solvers for a Successful Sushi Go! Agent
• Uncovering Personalized Mammography Screening Recommendations through the use of POMDP Methods
• Implementing Particle Filters for Human Tracking
• Decision Making in the Stock Market: Can Irrationality be Mathematically Modelled?
• Single and Multi-Agent Autonomous Driving using Value Iteration and Deep Q-Learning
• Buying and Selling Stock with Q-Learning
• Application and Analysis of Online, Offline, and Deep Reinforcement Learning Algorithms on Real-World Partially-Observable Markov Decision Processes
• Reward Augmentation to Model Emergent Properties of Human Driving Behavior Using Imitation Learning
• Classification and Segmentation of Cancer Under Uncertainty
• Comparison of Learning Methods for Price Setting of Airfare
• QMDP Method Comparisons for POMDP Pathfinding
• Global Value Function Approximation using Matrix Completion
• Artificial Intelligence Techniques for a Game of 2048
• Exploring the Boundaries of Art
• An Iterative Linear Algebra Approach to Dynamic Programming
• Solving Open AI Gym’s Lunar Lander with Deep Reinforcement Learning
• Application of Imitation Learning to Modeling Driver Behavior in Generalized Environments
• Craps Shoot: Beating the House…?
• Movie Recommendations with Reinforcement Learning
• Playing Atari 2600 Games Using Deep Learning
• Traverse Synthesis for Planetary Exploration
• Optimal operation of an islanded microgird under a Markov Decision Process framework
• Implementing Deep Q-learning Extensions in Julia with Flux.jl
• Learning How to Buy Food
• Using Dynamic Programming for Optimal Meal Planning
• Modelling Wildfire Evacuation using MDPs
• Comparing Multimodal Representations for Robotic Reinforcement Learning Tasks
• Applying Reinforcement Learning to Packet Routing in Mesh Networks
• Xs & Os: Creating a Tic-Tac-Toe Foe
• Doggo Does a Backflip: Deep Reinforcement Learning on a Quadruped Platform
• GrocerAI: Using Reinforcement Learning to Optimize Supermarket Purchases
• Reinforcement Learning For The Buying and Selling of Financial Assets
• Towards Designing a Policy on Automotive GPS Integrity
• Generalized Kinetic Component Analysis
• Trading Wheat Futures Contracts
• Using PCR, Neural Networks, and Reinforcement Learning
• Reinforcement Learning for Inverted Pendulums
• Electric Vehicle Charging under Uncertainty
• Automatic Accompaniment Generator: An MDP Approach
• Comparison of Methods in Artificial Life
• Modeling a Better Visual Acuity Test
• Online Methods Applied to the Game of Euchre
• Missile Defense Strategy: Towards Optimal Interceptor Allocation
• Smart Charging of Electric Vehicles under State Uncertainty
• Learning to Play Atari Breakout Using Deep Q-Learning and Variants
• Decision making on fault-code
• Learning FlappyBird with Deep Q-Networks
• A Fresh Start: Using Reinforcement Learning to Minimize Food Waste and Stock-Outs in Supermarkets
• Autonomous orbital maneuvering using reinforcement learning
• Autonomous Decision-Making for Space Debris Avoidance
• Maximizing Monthly Expenditures Under Uncertainty
• Modeling Voter Preferences in US General Elections
• Application of Reinforcement Learning to the Path Planning with Dynamic Obstacles
• A Decision Making framework for Medical Diagnostics
• Learning to Walk Using Deep RL
• Q(λ)-Learning with Boltzmann and ε-greedy Exploration Applied to a Race Car Simulation
• Reinforcement learning for Glassy/Phase Transitions
• Proximal Policy Optimization in Julia
• University Technology Patent and License Decisions: Open- versus Closed-Loop Planning in a Markov Decision Process
• A Policy Gradient Approach for Continuous-Time Control of Spacecraft Manipulator Systems
• Applying Techniques in Reinforcement Learning to Motion Planning in Redundant Robotic Manipulators
• Deep Q-Learning for Atari Pong
• Adversarial Curiosity for Model-Based Reinforcement Learning
• A Markov Decision Process Approach to Home Energy Management with Integrated Storage
• Using Maximum Likelihood Model-Based Reinforcement Learning to Play Skull
• Cryptocurrency Trading Strategy with Deep Reinforcement Learning
• Evaluating Multisense Word Embeddings Final Report
• Near-Earth Object (NEO) Deflection via POMDP
• Reinforcement Learning for Car Driving
• Reinforcement Learning for Automatic Wheel Alignment
• Julia Implementation of Trust Region Policy Optimization
• Deep Reinforcement Learning with Target and Prediction Networks
• Playing Tower Defense with Reinforcement Learning
• Q-Learning agent as a portfolio trader
• Multi-Robot Rendezvous from Indoor Acoustics
• Portfolio Asset Allocation using Reinforcement Learning
• Creating a 2048 AI Solver using Expectimax
• Robustness of Reinforcement Learning Based Communication Networks in Multi-Modal Multi-Step Games to Input Based Adversarial Attacks
• Deep Q-Learning with Nearest Neighbors in Sequential Decision-Making for Sepsis Treatment
• Positioning Archival Radar Data with a Particle Filter
• Reinforcement Learning for Atari Skiing
• Understanding Donations with Reinforcement Learning
• Known and Unknown Discrete Space Exploration Using Deep Q-Learning
• Speeding Up Reinforcement Learning with Imitation
• Learning Bandwidth-Limited Communication in Decentralized Multi-agent Reinforcement Learning

Fall 2017

• 2048 as a MDP
• A Computational Approach to Employee Resource Allocation between Multiple Projects
• Accelerated Training of Deep Q Learning Models for Atari Games
• AlphaOthello: Developing an Othello player through Reinforcement Learning on Deep Neural Networks
• An Online Approach to Energy Storage Management Optimization
• An Optimal Basketball Foul Strategy by Value Iteration
• Annealed Reward Functions in Continuous Control Reinforcement Learning
• Applications of Inverse Reinforcement Learning for Multi-Feature Path Planning
• Attributing Authorship in the Case of Anonymous Supreme Court Opinions Utilizing SVMs and Probabilistic Inference on Score Uncertainty
• Balancing Safety and Performance in Imitation Learning
• Baseball Pitch Calling as a Markov Decision Process
• Batch Reinforcement Learning Technological Investment Strategies Utilizing The Contingent Effectiveness Model In A Markov Decision Process
• Bayesian Learning of Image Transformations from User Preferences for Individualized Automatic Filters
• BetaMiniMax: An Agent for Cheat
• Building a Game Agent to Play Resistance
• Building Trust in Autonomy: Sharing Future Behavior in Reinforcement Learning
• Car racing with low dimensional input features
• Comparison of Classical Control Methods and POMDPs for 3D Motion Control
• Control of a Partially-Observable Linear Actuator
• DDQN Learning for 2048
• Deep Q-learning in OpenAI gym
• Deep Q-Learning with Target Networks for Game Playing
• Design of A Planning Machinery for Choosing an NBA Team’s Play Style Strategy
• Detecting Human from Image with Double DQN
• Determining the Optimal Betting Policy: World Series
• Disrupting Distributed Consensus (or Not) Using Reinforcement Learning
• Dominating Dominoes
• Double A3C: Deep Reinforcement Learning on OpenAI Gym Games
• Emergent Language in Multi-Agent Co-operative Reinforcement Learning
• Explore the Frontier of Safe Imitation Learning for Autonomous Driving
• Fast Operation of Coordinated Distributed Energy Resources without Network Models using Deep Deterministic Policy Gradients
• Faster Algorithms for Contextual Combinatorial Cascading Bandits
• Finding a Scent Source with a Soft Growing Robot Using Monte Carlo Tree Search
• Gaming Bitcoin Leveraging Model-Based Reinforcement Learning
• Get Ready for Demand Response
• GlideAI: Optimizing Soaring Strategy with Reinforcement Learning
• Grid Stability Management and Price Arbitrage for Distributed Energy Storage and Generation via Reinforcement Learning
• Guiding the management of sepsis with deep reinforcement learning
• HMMs for Prediction of High-Cost Failures
• Integrating Mini-Model Evidence into Policy Evaluation
• Investigating Parametric Insurance Models As Multi- Variable Decision Networks
• Learning an Optimal Policy for Police Resource Allocation on Freeways
• Learning Terminal Airspace Models from TSAA Data
• Learning the Education System
• Learning the Policy of the Policy: Deep Reinforcement Learning with Model-Based Feedback Controllers
• Learning to Play a Simplified Version of Monopoly Using Multi-Agent SARSA
• Learning to Play Othello Without Human Knowledge
• Limbed Robot Motion Control through Online Reinforcement Learning
• Linear Approximation Q-Learning to Learn Movement in a 2D Space
• Locally Optimal Risk Aware Path Planning
• Massively Parallel Reinforcement Learning Using Trust Region Policy Optimization
• Model-Free Learning of Casino Blackjack
• Model-Free Reinforcement Learning of a Modified Helicopter Game
• Model-Free Reinforcement Learning on Flappy Bird
• Modeling Disaster Evacuation Paths
• Modeling Flight Delay and Cancelation
• Modeling NBA Matchups
• Modeling Optimally Efficient Earth to Earth Flight Trajectories in Kerbal Space Program with Reinforcement Learning
• Modeling Real Estate Investment with Deep Reinforcement Learning
• Multi-Agent Cooperative Language Learning
• Multi-armed Bandits with Unobserved Confounders
• Multidisciplinary Design Optimization for Approximating Unsteady Aerodynamics of Flexible Aircraft Structures
• Navigating Chaos: Autonomous Driving in a Highly Stochastic Environment
• Optimal Flight Itineraries Under Uncertainty Using a Stochastic Markov Decision Process
• Optimal Strategy for Two-Player Incremental Classification Games Under Non-Traditional Reward Mechanisms
• Optimizing sequential time-lapse seismic davcx bta collection using a POMDP
• Personal Portfolio Asset Allocation as An MDP Problem
• Planetary Lander with Limited Sensor Information and Topographical Uncertainty
• Playing Flappy Bird Using Deep Reinforcement Learning
• POMDP and MDP for Underwater Navigation
• POMDP Modeling of a Simulated Automatic Faucet for Cognitive State and Task Recognition
• Portfolio Management
• Power Grid real time optimization using Q-Learning
• Predicting Congressional Voting Behavior and Party Affiliation using Machine Learning
• Predicting Income From OkCupid Profiles
• Predicting NBA Game Outcomes using POMDPs
• Predicting Subjective Sleep Quality
• Preparation of Papers for AIAA Technical Journals
• Pursuit-Evasion Game with an Agent Unaware of its Role
• Rapid Reinforcement Learning by Injecting Stochasticity into Bellman
• Real Time Collision Detection and Identification for Robotic Manipulators
• Reinforcement Learning Applied to Quadcopter Hovering
• Reinforcement Learning Approaches to Pathfinding in Stochastic Environments
• Reinforcement Learning For A Reach-Avoid Game
• Reinforcement Learning for Atari Breakout
• Reinforcement Learning for Crypto-Currency Arbitrage Bot
• Reinforcement Learning for Precision Landing of a Physically Simulated Rocket
• Reinforcement learning in an online multiplayer game
• Reinforcement Learning of Blackjack Variants
• Reinforcement training of nonlinear reduced order models
• Reward Shaping with Dynamic Guidance to Accelerate Learning for Multi-Agent Systems
• Risk – Bayesian World Conquest
• Roboat: Reinforcement of Boat’s Optimal Adaptive Trajectory
• Robotic Arm Motion Planning Based on Reinforcement Learning
• Robotic Decision Making Under Uncertainty
• Sensor Selection for Energy-Efficient Path Planning Under Uncertainty
• ShAIkespeare: Generating Poetry with Reinforcement Learning and Factor Graphs
• Shared Policies in Aircraft Avoidance
• Simulated Autonomous Driving with Deep Reinforcement Learning
• Simulating Coverage Path Planning with Roomba
• SLAMming into Obstacles: Simultaneous Localization and Mapping the Path of a Turtlebot
• Smart Health Coach: Using Markov Decision Processes to Optimize Health Advising Strategies
• Smarter Queues by Reinforcement Learning
• Solving Real-world Oil Drilling Problem with Multi-Armed Bandit and POMDP Models
• Stay in Your Lane: Probabilistic Vehicular Automation for DIY Robocars
• Supervised Learning and Reinforcement Learning for Algorithmic Trading
• Taking Out the GaRLbage
• Terrain Relative Navigation and Path Planning for Planetary Rovers
• Time-Constrained Sample Retrieval in a Martian Gridworld with Unknown Terrain
• Trade-offs in Connect Four Game-Playing Agents
• Training an Intelligent Driver on Highway Using Reinforcement Learning
• UAV Collision Avoidance Using Neural Network-Assisted Q-Learning
• Understanding Limitations of Network Meta-analysis Approaches to Rank Effectiveness of Treatments
• Using Bayesian Networks to Impute Missing Data
• Using Bayesian Networks to Predict Credit Card Default
• Using Bayesian Networks to Understand and Predict Wildfires
• Using Classification Models to Represent and Predict Students’ Restaurant Preferences
• Using Q-Learning to Optimize Lunar Lander Game Play
• Using the QMDP Method to Determine an Open Ocean Fishing Policy
• Utilizing fundamental factors in reinforcement learning for active portfolio management
• Utilizing Fundamental Factors in Reinforcement Learning for Active Portfolio Management

Fall 2016

• Model-Free Reinforcement Learning of Blackjack
• Partially Observable Actions in Solving Markov Decision Processes. The Case for Insulin Dosing Optimization in Diabetic Patients.
• Using Monte-Carlo Tree Search to Solve the Board Game Hive
• Blackjack: How to use MDP’s to (nearly) beat the house
• Cancer Metabolism Mapping: Bayesian Networks and Network Learning Techniques to Understand Cancer Metabolic and Regulatory Pathways
• Gibbs Sampling in BayesNets.jl
• UAV Collision Avoidance Policy Optimization with Deep Reinforcement Learning
• Improving Training Efficiency in Deep Q-Learning for Atari Breakout
• Monitoring Machine Workload Distribution with Kalman Filter
• Approximating Transition Functions to Cart Track MDPs via Sub-State Sampling
• Approaching Quantitative Trading with Machine Learning
• Structure and Parameter Learning in Bayesian Networks with Applications to Predicting Breast Cancer Tumor Malignancy in a Lower Dimension Feature Space
• Autonomous Racing by Learning from Professionals
• Bravo Zulu: Optimizing Teammate Selection for Military and Civilian Applications
• Investigating Transfer Learning in Deep Reinforcement Learning Context
• Simultaneous Estimation and Control with MCTS
• Controlling Soft Robots with POMCP
• Automatic Learning of Computer Users’ Habits
• Learning to Play Soccer in the OpenAI Gym
• Playing Ultimate Tic-Tac-Toe with TD Learning and Monte Carlo Tree Search
• A Bayesian Network Model of Pilot Response to TCAS Resolution Advisories
• Improving Head Impact Kinematics Measurement Accuracy using Sensor Fusion
• Drive Decision Making at Intersections
• Deterministic and Bayesian Techniques for Spaceborne Vision-Based Non-Stellar Object Detection
• A Two-Phased Deep Reinforcement Learning Algorith for High-Frequency Trading
• Implementation and Experimentation of a DQN solver in Julia for POMDPs.jl
• Landing on the Moon
• Deserted Island: Cooperative Behavior in Absence of Explicit Delayed Reward
• DeepGo.py
• Managing Groundwater under Uncertain Seasonal Recharge
• Using Reinforcement Learning to Find Flaws in Collision Avoidance Systems
• Effectiveness of Bayesian Networks in Building a Prediction Model for Movie Success
• Data Driven Agent based on Aircraft Intent
• Deep Q-Learning with Natural Gradients
• A Shot in the Dark: Beating Battleship with POMCP
• Accelerated Asynchronous Deep Reinforcement Learning Variant of Advantage Actor-Critic
• Applying Reinforcement Learning and Online Methods on the Inverted Pendulum Problem
• Predicting Sentiment with Deep Q-Learning
• A Lookahead Strategy for Super-Level Set Estimation using Gaussian Processes
• Modeling Breast Cancer Treatment as a Markov Decision Process
• Learning 31 using Cross-Entropy Methods
• Improving Haptic Guidance using Reinforcement Learning
• NLPLab: Actor-Critic Training in Natural Language Processing
• Deep Reinforcement Learning on Atari Breakout
• Reinforcement Learning for LunarLander
• Reinforcement Learning for AI Machine Playing Hearthstone
• Using Deep Q-Learning to Automate CNN Training
• Automatic Continuous Variable Encoder in Bayesian Network
• Side Channel Analysis using Neural Networks and Random Forests
• A Decision-Making System for Wildfire Management
• Decentralized Game Theoretic Methods for the Distributed Graph Coverage Problem
• Autonomous altitude control for high altitude balloons
• Neural Network Arbitration for Better Time and Accuracy trade-offs
• Deep Deterministic Policy Gradient with Robot Soccer
• Towards a Personal Decision Support System
• Optimal Gerrymandering under Uncertainty
• The Ambulance Dilemma: Crossing an Intersection with Monte Carlo Tree Search
• DeepDominionDevelopmental Policy Design: an MDP approach
• Training of a craps betting strategy with Reinforcement Learning Techniques
• Engineering a Better Monkey
• Decision Making During a Bicycle Race
• Using Discrete Pressure Measurements to Understand Subsonic Bluff-Body Dynamic Damping
• Effective Move Selection in Chess Without Lookahead Search
• Solving Texas Hold’em with Monte-Carlo Planning
• Reinforcement Learning of High-Speed Autonomous Driving through Unknown Map
• Implementation and deployment of particle filter for simulated and real-world localization tasks
• Tree Augmented Naive Bayes and Backward Simulation
• Transfer of Q values across tasks in Reinforcement Learning
• Training Regime Modifications for Deep Q-Network Learning Acceleration
• Reinforce Optimizer
• Approximating Ligand Docking Using a Markov Decision Process
• Breaking Down Social Media Filter Bubbles via Reinforcement Learning
• Performing an N-Sentiment Classification Task on Tinder Profiles Based On Image Feature Extraction
• Play Blackjack With Monte Carlo Simulation And Q-learning with Linear Regression
• Observer-Actor Neural Networks for Self-Play in Imperfect Information Games
• Using Hybrid Bayes Nets to Model Country Prosperity
• Solving a Pandemic! Various Approaches for Tackling the Board Game
• Improved Markov Decision Process Model for Resource Allocation in Disaster Scenarios
• Learning Chess through Reinforcement Learning
• Deep Reinforcement Learning For Continuous Control: An Investigation of Techniques and Tricks
• Computer Vision Through Perception: Semantic Understanding of Novel Scenes through Data Programming
• Path Planning for Insertion of a Bevel-Tip Needle
• Modeling human biases through reinforcement learning
• Bootstrapping Neural Network with Auxiliary Tasks
• Q-Learning Application in Optimizing Pokémon Battle Strategy
• Model-based exploration in natural language generation
• Automated Aircraft Touchdown
• Longitudinal Vehicle Control using a Markov Decision Process and Deep Neural Network
• MOMDP-based Aerial Target Search Optimization
• Greedy Thick-Thinning Structure Learning and Bayesian Network Conditional Independence Implementations in BayesNets.jl
• Multiagent Planning For Aerial Broadband Internet
• Viral Marketing as an MDP
• Neural Soccer – Towards Exploration by the Pursuit of Novelty
• Locally Weighted Value Iteration in Julia
• Fully-Nested Interactive POMDPs for Partially-Observable Turn-Based Games
• Optimal Policy Considerations for Gas Turbine Maintenance
• Learning Optimal Manipulation of Food Webs
• Estimating Resource Prospector’s Probability of Failure Using Importance Sampling and Cross Entropy
• Dynamically Discount Deep Reinforcement Learning
• Deep Reinforcement Learning: Accelerated Learning with Effective Gradient Ascent Optimization Algorithms
• Autonomous Human Tracking in Simulated Environment
• A LQG Library for POMDPs.jl

Fall 2015

• Mars Hab-Bot: Using MDPs to simulate a robot constructing human-livable habitats on Mars
• A Value Iteration Study of BlackJack
• Optimized Store-Stocking via Monte Carlo Tree Search with Stochastic Rewards
• Trajectory Planning for Map Exploration Using Terrain Features
• Instruction Following with Deep Reinforcement Learning
• Using Markov Decision Processes to Minimize Golf Score
• Reinforcement Learning for Scheduling I/O Requests on Multi-Queue Flash Storage
• Finding the Perfect ‘Job’ in resource allocation
• Maximizing Influence in Social Networks
• A Machine Learning Regression Approach to General Game Playing
• Modeling GPS Spoofing as a Partially Observable Markov Decision Process
• Travel Hacking with MDPs
• Optimal Mission Planning for a Satellite-Based Particle Detector via Online Reinforcement Learning
• An MDP Approach to Motion Planning for Hopping Rovers on Small Solar System Bodies
• Sampling Strategies for Deep Reinforcement Learning
• Descriptive Power of Bayesian Structure Learning in Stock Market
• Large-Scale Traffic Grid Signal Control Using Fuzzy Logic and Decentralized Reinforcement Learning
• Simulated Pedestrian-like Navigation with a 1D Kalman Filter with an Accelerometer and the Global Positioning System
• Search and Track Tradeoff for Multifunction Radars
• Play Calling in American Football Using Value Iteration
• Reinforcement learning for commodity trading
• Learning the Stock Market, a Naive Approach
• A POMDP Framework for Modelling Robotic Guidance During a Tissue Palpation Task
• Reinforcement Learning of an Artificially Intelligent Hearts Player1
• Toy Helicopter Control via Deep Reinforcement Learning
• Gas Refuelling Optimization Modelled as a Markov Decision Process
• Q-Matrix and Policy Compression via Deep Learning
• Augmenting Self-Learning In Chess Through Expert Imitation
• Monte Carlo Tree Search Applied to a Variant of the RockSample Problem
• Supply Chain Management using POMDPs
• Online Markov Decision Process Framework for Modeling Efficient Home Robot Cleaners
• Reinforcement Learning for Path Planning with Soft Robotic Manipulators
• Exploring POMDPS with Recurrent Neural Networks
• Tic-tac-toe with reinforcement learning: best strategies and influence of parameters
• Vehicle Speed Prediction using Long Short-Term Memory Networks
• Explorations on Learning Bayesian Networks
• Playing unknown game on a visual world
• Reinforcement Learning for Atari Games
• Q-learning in the Game of Mastermind
• Modeling of a Baseball Inning as MDP
• Reinforcement Learning for Path Planning with Soft Robotic Manipulators
• Autonomous Driving on a Multi-lane Highway Using POMDPs
• Solving a Maze Without Location Data
• Markov Decision Processes and Optimal Policy Determination for Street Parking
• Solving an opponent-based match-three mobile game
• Life begins as a POMDP: improving decision making in the IVF clinic
• Path Planning for Target-Tracking Unmanned Aerial Vehicle
• Discrete State Filter Implementation for a Battleships Artificial Intelligence
• POMDP for Search and Rescue with Obstacle Avoidance: Incorporation of Human in the Loop
• Application performance over cellular networks
• An MDP Approach to Motion Planning for Hopping Rovers on Small Solar System Bodies
• Solving Dudo: beating Liar’s Dice with a POMDP
• Reinforcement Learning for Tetris
• Robot Path Planning using Monte Carlo POMDP
• Reinforcement Learning of an Artificially Intelligent Hearts Player
• Enhancing Computational Efficiency of PILCO Model-based Reinforcement Learning Algorithm
• Analysis of UCT Exploration Parameter in Sailing Domain Problems
• Solving a Search and Rescue Planning problem with MOMDPs
• Robot Motion Planning in Unknown Environments using Monte Carlo Tree Search
• Delivery optimization of an on-demand delivery service
• Solving Multi­Agent Decision Making using MDPs
• Efficient and Modular Inventory Management Framework for Small Businesseses
• Markov Decision Processes in Board Game Playing
• Automated Model Selection via Gaussian Processes
• Predictive Hybrid Vehicle Control Policy
• Optimal Policies for In-Space Satellite Communications
• Spacecraft Navigation in Cluttered, Dynamic Environments Using 3D Lidar
• Playing Chess Endgames using Reinforcement Learning
• Space Debris Removal
• Large-Scale Traffic Grid Signal Control Using Fuzzy Logic and Decentralized Reinforcement Learning
• Relation Extraction from Scratch
• Lane Merging as a Markov Decision Process
• Using MDP/POMDP to Help in Search of Survivors of a Plane Crash
• Applying POMCP to Controlling Partially Observable Diffusion Processes
• Credit Risk Classification using Bayesian Network

Fall 2014

• Automating Air Traffic Management for Flight Arrivals
• Policy Learning for Sokoban
• Flight Path Optimization Under Constraints Using a Markov Decision Process Approach
• Visual Localization and POMDP for Autonomous Indoor Navigation
• Monte Carlo Tree Search for Online Learning in Golf Course Management
• Pushing on Leaves
• Beating 2048
• Improved electrical grid balancing with demand response scheduled by an MDP
• Multi-Fidelity Model Management in Engineering Design Optimization Using Partially Observable Markov Decision Processes
• Smarter Generators in Power Markets
• Beach Paddle Ball
• Applying POMDP to RockSample problem
• Targeting Hostile Vehicle Modeled as a Partially Observable Markov Decision Process with State-Dependent Observation Model
• Reinforcement Learning and Linear Gaussian Dynamics Applied to Multifidelity Optimization of a Supersonic Wedge
• Approximate POMDP Solutions for Short-Range UAV Traffic Conflict Resolution
• WorkSmart: The Implementation of a Modified Q-Learning Algorithm for an Intelligent Daily To-Do List Android Application
• Imminent Obstacle Avoidance with Friction Uncertainty
• Dynamic Restrictions during Commercial Space Vehicle Launches
• Autonomous Direct Marketing with Deep Q-Learning
• Efficient Risk Estimation for Chance-Constrained Robotic Motion Planning Under Uncertainty
• Probabilistic Aircraft Arrival Rate Prediction
• Audio Keylogging: Translating Acoustic Signals into Keystrokes
• Collision Avoidance for Small Multi-Rotor Aircraft using SARSA(λ) and Fourier Basis Functions
• Reinforcement Learning with Tetris
• Stock Market Reinforcement Learning
• Obstacle Avoidance for Automated Vehicle using Markov Decision Processes
• Control of Epidemics on a Graph
• Autonomous ATC for non-towered airports
• Path Planning for Terrain Relative Navigation using POMDPs
• Vehicle Braking Controller in a Markov Decision Process Framework
• Multi-Armed Bandit Heuristics for HTTP Denial-of-Service Attacks
• Structure Learning for Probabilistic Driving Models
• Casino Blackjack Modeled as a Markov Decision Process
• Competitive Collision Avoidance
• Efficient Sampling Of Protein Landscapes Via Markov Decision Processes
• Flight Deck Interval Management (An MDP Approach)
• BGT Model for Analysis of Head-On Collisions
• Collision Avoidance System Parameter Optimization
• Dynamic Demand Prediction and Routing for Autonomous Mobility-on-Demand Systems
• Action-Constrained, Multi-Species Task Scheduling: The Kayaker Problem
• Reinforcement Learning with Low-rank Matrix Factorization
• Automated Sequencing and Spacing of Arrival Aircraft in Final Vector Approach Airspace
• Exploring Policy Learning for Blackjack