Practical Model-Based Algorithms for Reinforcement Learning and Imitation Learning

Practical Model-Based Algorithms for Reinforcement Learning and Imitation Learning

Simons Institute via YouTube Direct link

Expectations

10 of 14

10 of 14

Expectations

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Classroom Contents

Practical Model-Based Algorithms for Reinforcement Learning and Imitation Learning

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  1. 1 Intro
  2. 2 Sample Efficiency
  3. 3 Reinforcement Learning
  4. 4 ModelbasedReinforcement Learning
  5. 5 Challenges
  6. 6 Learning dynamics
  7. 7 Autism in the face of uncertainty
  8. 8 Examples
  9. 9 Ideal Loss
  10. 10 Expectations
  11. 11 Upper Bound
  12. 12 Demonstration
  13. 13 Evaluation
  14. 14 Open Questions

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