Fast Reinforcement Learning With Generalized Policy Updates - Paper Explained

Fast Reinforcement Learning With Generalized Policy Updates - Paper Explained

Yannic Kilcher via YouTube Direct link

- Zero-Shot Policy for New Tasks

8 of 14

8 of 14

- Zero-Shot Policy for New Tasks

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Fast Reinforcement Learning With Generalized Policy Updates - Paper Explained

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

  1. 1 - Intro & Overview
  2. 2 - Problem Statement
  3. 3 - Q-Learning Primer
  4. 4 - Multiple Rewards, Multiple Policies
  5. 5 - Example Environment
  6. 6 - Tasks as Linear Mixtures of Features
  7. 7 - Successor Features
  8. 8 - Zero-Shot Policy for New Tasks
  9. 9 - Results on New Task W3
  10. 10 - Inferring the Task via Regression
  11. 11 - The Influence of the Given Policies
  12. 12 - Learning the Feature Functions
  13. 13 - More Complicated Tasks
  14. 14 - Life-Long Learning, Comments & Conclusion

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.