Learning Controllers - From Engineering to AGI

Learning Controllers - From Engineering to AGI

MIT Embodied Intelligence via YouTube Direct link

Conclusion

18 of 23

18 of 23

Conclusion

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Learning Controllers - From Engineering to AGI

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  1. 1 Introduction
  2. 2 Mission of DeepMind
  3. 3 Fusion Energy
  4. 4 Control Problem
  5. 5 Challenges
  6. 6 Classical PID Controller
  7. 7 Learning Stages
  8. 8 History
  9. 9 Classical reinforcement learning
  10. 10 Optimize infer
  11. 11 How to collect data
  12. 12 Explore to Offline
  13. 13 Results
  14. 14 Scheduled Auxiliary Control
  15. 15 Sensor Exploration
  16. 16 Locomotion
  17. 17 Examples
  18. 18 Conclusion
  19. 19 Discussion
  20. 20 Question from YouTube
  21. 21 Does anyone have more questions
  22. 22 Latency
  23. 23 Outro

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