Talks and Presentations
Talks
- Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces
- On the Foundation of Distributionally Robust Reinforcement Learning (Long version)
- On the Foundation of Distributionally Robust Reinforcement Learning
- Slides: CISS 2024
- Conference on Information Sciences and Systems (CISS) 2024.
- Reinforcement Learning for Mixing Systems
- Distributionally Robust Q-learning: Formulations, Algorithms, and Sample Complexities
- Distributionally Robust Q-learning: Algorithm Designs and Sample Complexities
- Presented at Stanford OR Seminar.
- A Finite Sample Complexity Bound for the Distributionally Robust Q-learning
- Presented at INFORMS 2022.
Posters
- Optimal Sample Complexity for Average Reward Markov Decision Processes
- A Finite Sample Complexity Bound for the Distributionally Robust Q-learning
