Improving Intrinsic Exploration with Language Abstractions - Machine Learning Paper Explained

Improving Intrinsic Exploration with Language Abstractions - Machine Learning Paper Explained

Yannic Kilcher via YouTube Direct link

- Baseline algorithm: NovelD and Random Network Distillation

7 of 11

7 of 11

- Baseline algorithm: NovelD and Random Network Distillation

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Improving Intrinsic Exploration with Language Abstractions - Machine Learning Paper Explained

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  1. 1 - Intro
  2. 2 - Paper Overview: Language for exploration
  3. 3 - The MiniGrid & MiniHack environments
  4. 4 - Annotating states with language
  5. 5 - Baseline algorithm: AMIGo
  6. 6 - Adding language to AMIGo
  7. 7 - Baseline algorithm: NovelD and Random Network Distillation
  8. 8 - Adding language to NovelD
  9. 9 - Aren't we just using extra data?
  10. 10 - Investigating the experimental results
  11. 11 - Final comments

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