Fast Reinforcement Learning With Generalized Policy Updates - Paper Explained

Fast Reinforcement Learning With Generalized Policy Updates - Paper Explained

Yannic Kilcher via YouTube Direct link

- Life-Long Learning, Comments & Conclusion

14 of 14

14 of 14

- Life-Long Learning, Comments & Conclusion

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Fast Reinforcement Learning With Generalized Policy Updates - Paper Explained

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  1. 1 - Intro & Overview
  2. 2 - Problem Statement
  3. 3 - Q-Learning Primer
  4. 4 - Multiple Rewards, Multiple Policies
  5. 5 - Example Environment
  6. 6 - Tasks as Linear Mixtures of Features
  7. 7 - Successor Features
  8. 8 - Zero-Shot Policy for New Tasks
  9. 9 - Results on New Task W3
  10. 10 - Inferring the Task via Regression
  11. 11 - The Influence of the Given Policies
  12. 12 - Learning the Feature Functions
  13. 13 - More Complicated Tasks
  14. 14 - Life-Long Learning, Comments & Conclusion

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