reinforcement learning

This repository provides codes for the tutorial of reinforcement learning.

content

• 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)

reference

• 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)

resource

• 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