florianvazelle / unity-rl Public

Notifications You must be signed in to change notification settings
Fork 0
Star 5

Markov Decision Process and Temporal Difference algorithms

5 stars 0 forks Branches Tags Activity

Name		Name	Last commit message	Last commit date
Latest commit History 47 Commits
.vscode		.vscode
Assets		Assets
Packages		Packages
ProjectSettings		ProjectSettings
.gitignore		.gitignore
README.md		README.md

Repository files navigation

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

About

Markov Decision Process and Temporal Difference algorithms

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

Report repository

Releases

No releases published

Packages

No packages published

Contributors 3

Languages

C# 100.0%