Author Interview - ACCEL- Evolving Curricula with Regret-Based Environment Design

Author Interview - ACCEL- Evolving Curricula with Regret-Based Environment Design

Yannic Kilcher via YouTube Direct link

- What is minimax regret?

4 of 15

4 of 15

- What is minimax regret?

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Author Interview - ACCEL- Evolving Curricula with Regret-Based Environment Design

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  1. 1 - Intro
  2. 2 - Start of interview
  3. 3 - How did you get into this field?
  4. 4 - What is minimax regret?
  5. 5 - What levels does the regret objective select?
  6. 6 - Positive value loss correcting my mistakes
  7. 7 - Why is the teacher not learned?
  8. 8 - How much domain-specific knowledge is needed?
  9. 9 - What problems is this applicable to?
  10. 10 - Single agent vs population of agents
  11. 11 - Measuring and balancing level difficulty
  12. 12 - How does generalization emerge?
  13. 13 - Diving deeper into the experimental results
  14. 14 - What are the unsolved challenges in the field?
  15. 15 - Where do we go from here?

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