wangshusen/DRL
Educational repository covering deep reinforcement learning algorithms with slides, lecture notes, and video lectures.
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This repository provides comprehensive materials for learning deep reinforcement learning, including slides and lecture notes on topics ranging from RL basics to advanced algorithms. Content covers TD learning, value-based methods (DQN, Dueling networks), policy-based approaches, and actor-critic methods. The materials include implementations and are accompanied by video lectures (primarily in Chinese) for each topic.
Frequently asked
- What is wangshusen/DRL?
- Educational repository covering deep reinforcement learning algorithms with slides, lecture notes, and video lectures.
- Is DRL open source?
- Yes — wangshusen/DRL is an open-source project tracked on heatdrop.
- How popular is DRL?
- wangshusen/DRL has 4.6k stars on GitHub.
- Where can I find DRL?
- wangshusen/DRL is on GitHub at https://github.com/wangshusen/DRL.