基于python的强化学习入门(含源码)

Reinforcement Learning Methods and Tutorials

In these tutorials for reinforcement learning, it covers from the basic RL algorithms to advanced algorithms developed recent years.

As many requests about making these tutorials available in English, please find them in this playlist: (https://www.youtube.com/playlist?list=PLXO45tsB95cIplu-fLMpUEEZTwrDNh6Ba)

Table of Contents

• Tutorials

  • Simple entry example

  • Q-learning

  • Sarsa

  • Sarsa(lambda)

  • Deep Q Network (DQN)

  • Using OpenAI Gym

  • Double DQN

  • DQN with Prioitized Experience Replay

  • Dueling DQN

  • Policy Gradients

  • Actor-Critic

  • Deep Deterministic Policy Gradient (DDPG)

  • A3C

  • Dyna-Q

  • Proximal Policy Optimization (PPO)

  • Curiosity Model, Random Network Distillation (RND)

• Some of my experiments

  • 2D Car

  • Robot arm

  • BipedalWalker

  • LunarLander

 

 

 

 

 

 

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