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

If you speak Chinese, visit莫烦 Python or myYoutube channel for more.

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

• 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

If this does help you, please consider donating to support me for better tutorials. Any contribution is greatly appreciated!