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Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University. The source code for the entire course material is open and everyone is cordially invited to use it for self-learning (students) or to set up their own course (lecturers).
Features
- Introduction to Reinforcement Learning
- Markov Decision Processes
- Temporal-Difference Learning
- Planning and Learning with Tabular Methods
- Value-Based Control with Function Approximation
- Outlook and Research Insights
- Further Contemporary RL Algorithms (TRPO, PPO)
Project Samples
Categories
Education, Reinforcement Learning Frameworks, Reinforcement Learning Libraries, Reinforcement Learning AlgorithmsLicense
MIT LicenseFollow Reinforcement Learning Course Materials
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