upb-lea/reinforcement_learning_course_materials
Open university course materials for reinforcement learning featuring lecture notes, Jupyter notebook tutorials, and video lectures.
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This repository provides complete educational materials for a reinforcement learning course originally hosted at Paderborn University. It includes LaTeX lecture notes, Jupyter notebook tutorials with solutions, and links to online lecture videos covering topics such as Markov decision processes, dynamic programming, temporal difference learning, and policy gradient methods. All materials are open source and freely reusable under Creative Commons licensing.
Frequently asked
- What is upb-lea/reinforcement_learning_course_materials?
- Open university course materials for reinforcement learning featuring lecture notes, Jupyter notebook tutorials, and video lectures.
- Is reinforcement_learning_course_materials open source?
- Yes — upb-lea/reinforcement_learning_course_materials is an open-source project tracked on heatdrop.
- What language is reinforcement_learning_course_materials written in?
- upb-lea/reinforcement_learning_course_materials is primarily written in Jupyter Notebook.
- How popular is reinforcement_learning_course_materials?
- upb-lea/reinforcement_learning_course_materials has 1.2k stars on GitHub.
- Where can I find reinforcement_learning_course_materials?
- upb-lea/reinforcement_learning_course_materials is on GitHub at https://github.com/upb-lea/reinforcement_learning_course_materials.