Learning to Fly High: Reinforcement Learning for Soaring and Airborne Wind Energy

Learning to Fly High: Reinforcement Learning for Soaring and Airborne Wind Energy

PCS Institute for Basic Science via YouTube Direct link

Questions

15 of 18

15 of 18

Questions

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Classroom Contents

Learning to Fly High: Reinforcement Learning for Soaring and Airborne Wind Energy

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  1. 1 Introduction
  2. 2 Naturalistic Observations
  3. 3 How do they do it
  4. 4 Reinforcement learning
  5. 5 Pseudocode
  6. 6 Virtual Birds
  7. 7 Platformers
  8. 8 Kites
  9. 9 Kite Cycles
  10. 10 Prototypes
  11. 11 Numerical Simulation
  12. 12 Dynamical System Analysis
  13. 13 Future work
  14. 14 Multiagent navigation
  15. 15 Questions
  16. 16 Schematics
  17. 17 Preview Slide
  18. 18 Discussion

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