The Resource of Reinforcement Learning
Books
- Reinforcement Learning: An Introduction
- Algorithms for Reinforcement Learning
- Markov Decision Processes Discrete Stochastic Dynamic Programming
- Convex Optimization
Courses
- Rich Sutton (Alberta)
- David Silver (UCL)
- Reinforcement Learning (Stanford)
- Deep Reinforcement Learning (UC Berkeley)
- Hongyi Li (Taiwan)
- Deep Reinforcement Learning and Control (CMU)
- Multi-Agent Reinforcement Learning Tutorial (SJTU)
- 2020 Reinforcement Learning China Summer School (Jun Wang)