Finding Counterexamples to Conjectures via Reinforcement Learning - IPAM at UCLA

Finding Counterexamples to Conjectures via Reinforcement Learning - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

Intro

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1 of 18

Intro

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Finding Counterexamples to Conjectures via Reinforcement Learning - IPAM at UCLA

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  1. 1 Intro
  2. 2 Talk overview
  3. 3 Reinforcement learning
  4. 4 Example 1
  5. 5 What if we don't succeed?
  6. 6 Example 2
  7. 7 Not just graphs
  8. 8 Example 3
  9. 9 Example 4 - Problems on trees
  10. 10 non-obvious reward function
  11. 11 Example 5
  12. 12 Example 6 - Infinite problems?
  13. 13 What RL setup to use?
  14. 14 Reasons an RL algorithm might not work
  15. 15 Practical problems
  16. 16 Cross-entropy method
  17. 17 Implementation details
  18. 18 Improvements to the method

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