This repository provides codes for the tutorial of reinforcement learning.
- multi-armed bandit (article, code)
- markov decision process (article, code)
- bellman equation (article)
- dynamical programming (article, code)
- model free example (article, code)
- model free evaluation (article)
- model free control (article)
- policy improvement in model free (article, code)
- learn gym (article, code)
- model based learning (article)
- mcts (article, code)
- value function approximation (article, code)
- logistic regression (article, code)
- dqn (article, code)
- policy gradient (article, code)
- UCL Course on RL (slide, video)
- CS 294: Deep Reinforcement Learning, Spring 2017 (slide, video, code, blog)
- CS 294: Deep Reinforcement Learning, Fall 2017 (slide, blog)
- Reinforcement Learning and Optimal Control (slide)
- Reinforcement Learning: An Introduction (book, code)
- Algorithms for Reinforcement Learning (paper)
- Welcome to Spinning Up in Deep RL! (site)
- 无痛的机器学习: a blog introduces machine learning, and refers to reinforcement learninig
- Deep Reinforcement Learning: Model-Free Algorithms(I) | 基本model free算法：an article summarizes the deep reinforcement learning
- dennybritz/reinforcement-learning: a github repository, which gives a tutorial to reinforcement learninig
- MorvanZhou/Reinforcement-learning-with-tensorflow: a github repository, which gives a tutorial to reinforcement learninig