zhoubolei/introRL
An introductory reinforcement learning course with 10 lectures covering MDPs, value functions, policy gradient, and model-based RL.
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This repository provides slides and video lectures for an introductory reinforcement learning course taught by Bolei Zhou. It covers foundational RL concepts including Markov Decision Processes, model-free prediction and control, value function approximation, policy gradient methods, and model-based RL. The materials include PDF slides in English and video lectures in Mandarin, with 10 lectures total released in 2020.
Frequently asked
- What is zhoubolei/introRL?
- An introductory reinforcement learning course with 10 lectures covering MDPs, value functions, policy gradient, and model-based RL.
- Is introRL open source?
- Yes — zhoubolei/introRL is open source, released under the MIT license.
- How popular is introRL?
- zhoubolei/introRL has 3.6k stars on GitHub.
- Where can I find introRL?
- zhoubolei/introRL is on GitHub at https://github.com/zhoubolei/introRL.