works on
distributionally robust reinforcement learning 1exploration-exploitation tradeoff 1interactive data collection 1robust inventory control 1robust markov decision processes 1sample complexity 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.LG2026

Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms

Miao Lu, Han Zhong, Tong Zhang +1

The paper studies reinforcement learning where the learner must be robust to differences between training and deployment environments, using interactive data collection and proposi…