The Role of Multi-Agent Learning in Artificial Intelligence Research at DeepMind

The Role of Multi-Agent Learning in Artificial Intelligence Research at DeepMind

Alan Turing Institute via YouTube Direct link

Game Space Complexity

13 of 28

13 of 28

Game Space Complexity

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

The Role of Multi-Agent Learning in Artificial Intelligence Research at DeepMind

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Introduction
  2. 2 Welcome
  3. 3 About DeepMind
  4. 4 What is Intelligence
  5. 5 Multiagent Systems
  6. 6 Multiagent Aspects
  7. 7 Cumulative Culture
  8. 8 Social Dilemmas
  9. 9 Results
  10. 10 Conclusion
  11. 11 The Game of Go
  12. 12 Why is Go so difficult
  13. 13 Game Space Complexity
  14. 14 Value Network
  15. 15 Policy Network
  16. 16 Human Expert Game Records
  17. 17 Supervised Policy Network
  18. 18 Train Value Network
  19. 19 Supervised Learning
  20. 20 Value Networks
  21. 21 Evaluation
  22. 22 Random Roll
  23. 23 Evaluation of Go
  24. 24 Innovation in Go
  25. 25 Alphago test games
  26. 26 Alphago team
  27. 27 Lessons from Alphago
  28. 28 What hasnt been achieved

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.