This is a repository of my reinforcement learning material. I do this work for the following purposes:
- maintaining study resources of RL.
- writing notes and doing exercises of RL open courses.
- implementing algorithms about RL.
Books
- Sutton & Barto, Reinforcement Learning: An Introduction (2nd Edition)
- Szepesvari, Algorithms for Reinforcement Learning (Last update: May 18, 2013)
- Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning
Courses
- David Silver's Introduction to Reinforcement Learning Course (UCL, 2015) videos
- CS294 - Deep Reinforcement Learning (Berkeley, Spring 2017)
- CS 8803 - Reinforcement Learning (Georgia Tech)
Projects
Reserachers
packages