Reinforcement Learning - Emma Brunskill - Stanford University

Reinforcement Learning - Emma Brunskill - Stanford University

Paul G. Allen School via YouTube Direct link

Reward Function

19 of 19

19 of 19

Reward Function

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Reinforcement Learning - Emma Brunskill - Stanford University

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  1. 1 Introduction
  2. 2 Background
  3. 3 Legacy of Decision Making
  4. 4 Reinforcement Learning
  5. 5 Challenges in AI
  6. 6 Huge change in the field
  7. 7 Robotics
  8. 8 Society
  9. 9 Healthcare
  10. 10 Application Areas
  11. 11 AI Planning
  12. 12 Machine Learning
  13. 13 Imitation Learning
  14. 14 Challenges
  15. 15 Rough Plan
  16. 16 Markov Decision Processes
  17. 17 Decision Policies
  18. 18 Horizon
  19. 19 Reward Function

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