Completed
Intro
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Generalization and Robustness in Offline Reinforcement Learning
Automatically move to the next video in the Classroom when playback concludes
- 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
