DDPG humanoid written in Tensorflow for walking task

🐲 Stanford CS234 : Reinforcement Learning

Notes on several Reinforcement Learning topics. Based on Sutton and Barto book and MOOC courses

Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)

A summary of important concepts and algorithms in RL

A mantained collection of curated bibtex of the most relevant reinforcement learning publications

Official repository for my MSc thesis: "Addressing Goal Misgeneralization with Natural Language Interfaces."

Reinforcement learning theory book about foundations of deep RL algorithms with proofs.

Notes that we took from Berkely University AI course.

Totally Asymmetric Simple Exclusion Process (TASEP) using reinforcement learning (RL) agents