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Reinforcement Learning

Reinforcement learning resources: control theory, multi-agent and continual learning, deep RL courses, and labs worth watching.

· Updated Aug 5, 2024


On this page

Here will be all important resources and content that I found useful while learning Reinforcement Learning.

Topics of Interest

  • Continual Learning
  • Learning in Multi Agent Systems
  • Multi Goal Reinforcement Learning
  • Application
    • Robotics
    • Healthcare
    • Finance

Currently Doing

Readings

People and Groups

  1. Richard Sutton's Group (University of Alberta)
  2. Emma Brunskill's Lab (Stanford University): RL with few samples
  3. Shimon Whiteson's Lab (University of Oxford)
  4. Doina Precup's Lab (McGill University): fundamental RL
  5. Jan Peters' Group (TU Darmstadt): site
  6. Frank Hutter's Lab (University of Freiburg): site
  7. Jürgen Schmidhuber's Group (IDSIA, Switzerland)