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 my Youtube 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
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