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