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Markov Decision Process and Temporal Difference algorithms

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Unity RL

Unity RL is a Unity C# application with multiple implementations of reinforcement learning algorithms on three mini-games.

Setup

This project work on Unity 2019.4.14f1

Table of Contents

Algorithms

Markov Decision Process
- Policy Iteration
- Value Iteration
Monte Carlo
- Exploring Starts
- On Policy (first/evry visit)
- Off Policy (first/evry visit)
Temporal Difference
- SARSA
- QLearning

Games

Demos

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Markov Decision Process and Temporal Difference algorithms

reinforcement-learning qlearning unity monte-carlo sokoban sarsa tictactoe gridworld markov-decision-processes

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C# 100.0%