Leduc Holdem

Leduc Hold'em
Leduc Holdem Game
Leduc Hold'em Poker
Leduc Holdem Rules

Fall 2020

Computed strategies for Kuhn Poker and Leduc Hold’em. We have shown, it is a hard task to nd global optima for Stackelberg equilibrium, even the three-player Kuhn Poker. We present a way to compute MaxMin strategy with the CFR algorithm. The tournaments suggest the pessimistic MaxMin strategy is the best performing and the most robust strat-egy.

Public Reports

Run examples/leducholdemhuman.py to play with the pre-trained Leduc Hold'em model. Leduc Hold'em is a simplified version of Texas Hold'em. Leduc Hold'em is a simplified version of Texas Hold'em. Rules can be found here. Edmonton Area (Leduc) NL Hold 'Em Tourneys: leblancryan2: Edmonton, Alberta: NL holdem tourneys, low-mid buyins. Badassredneck500: Calgary/Edmonton/Red Deer, Alberta. Leduc hold'em is a simplified version of texas hold'em with fewer rounds and a smaller deck. In this repository we aim tackle this problem using a version of monte carlo tree search called partially observable monte carlo planning, first introduced by Silver and Veness in 2010. Rules of the UH-Leduc-Holdem Poker Game: UHLPO is a two player poker game. The deck used contains multiple copies of eight different cards: aces, king, queens, and jacks in hearts and spades, and is shuffled prior to playing a hand.

Public Video Reports

Other Titles

Leduc Hold'em

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

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

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

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Fall 2015

Leduc Hold'em Poker

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

Leduc Holdem Rules

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(: Quick Hit Slots Hack Apk

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