/RELE

Dedicated to exploring and implementing various algorithms in the field of reinforcement learning. Techniques such as Q-learning, SARSA, and policy gradient methods. Implementation of these methods on various environments such as OpenAI gym.

Primary LanguageHTMLMIT LicenseMIT

RELE Profile

Authors

  • Alexandre Lemonnier
  • Eliott Bouhana
  • Victor Simonin
  • Sarah Gutierez

Objectives

This GitHub repository is dedicated to exploring and implementing various algorithms in the field of reinforcement learning. Included are tutorials and code examples on popular techniques such as Q-learning, SARSA, and policy gradient methods, as well as implementation of these methods on various environments such as OpenAI gym. The goal of this repository is to provide a comprehensive resource for those interested in learning about and experimenting with reinforcement learning.