Improving Intrinsic Exploration with Language Abstractions - Author Interview

Improving Intrinsic Exploration with Language Abstractions - Author Interview

Yannic Kilcher via YouTube Direct link

- Intro

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1 of 16

- Intro

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Improving Intrinsic Exploration with Language Abstractions - Author Interview

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  1. 1 - Intro
  2. 2 - Paper Overview
  3. 3 - Aren't you just adding extra data?
  4. 4 - Why are you splitting up the AMIGo teacher?
  5. 5 - How do you train the grounding network?
  6. 6 - What about causally structured environments?
  7. 7 - Highlights of the experimental results
  8. 8 - Why is there so much variance?
  9. 9 - How much does it matter that we are testing in a video game?
  10. 10 - How does novelty interface with the goal specification?
  11. 11 - The fundamental problems of exploration
  12. 12 - Are these algorithms subject to catastrophic forgetting?
  13. 13 - What current models could bring language to other environments?
  14. 14 - What does it take in terms of hardware?
  15. 15 - What problems did you encounter during the project?
  16. 16 - Where do we go from here?

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