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)

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License

MIT License

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Reinforcement Learning Course Materials Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Registered

2024-05-09