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Offline Data Coverage
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Classroom Contents
Generalization and Robustness in Offline Reinforcement Learning
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- 1 Intro
- 2 Empirical RL for large-scale problems
- 3 Traditional Online RL paradigm
- 4 offline RL paradigm
- 5 Potential Applications of Offline RL
- 6 Why offline RL is challenging?
- 7 Finite Horizon MDPs
- 8 Offline Data Collection
- 9 Offline Data Coverage
- 10 Learning goal in Offline RL: Robustness
- 11 Learning goal in Offline RL: Generalization
- 12 A Model-based Approach
- 13 A Naive Model-based Approach
- 14 Formal Theoretical Guarantee for CPPO
- 15 Traditional Imitation Learning
- 16 Covariate shift in Imitation
- 17 Offline Imitation Learning
- 18 Explanation of MILO
- 19 Experiments of MILO
