Reinforcement Learning Overview

About

This repository includes projects and study notes about Reinforcement Learning based on Reinforcement learning: An introduction book by Sutton, R. S., Bach, F., & Barto, A. G. Original Book: Reinforcement learning: An introduction.

Table of Contents

Reinforcement Learning Overview
Notes Projects Introduction Dynamic Programming Monte Carlo Methods Temporal-Difference Learning TD(n) Function Approximation Prediction and Control with Function Approximation Policy Gradient Planning

Cite

If you use this work or code for your research please cite the original book with the following bibtex entry.

 @book{sutton_bach_barto_2018, 
    title={Reinforcement learning: An introduction},
    publisher={MIT Press Ltd}, 
    author={Sutton, Richard S. and Bach, Francis and Barto, Andrew G.}, 
    year={2018}
} 

Licence

This repository is licensed under the Apache-2.0 License - see the LICENSE file for details.