distributionally robust reinforcement learning 1exploration-exploitation tradeoff 1interactive data collection 1robust inventory control 1robust markov decision processes 1sample complexity 1
From the 1 of 2 linked papers with an AI index.
2 papers
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…
cs.LG2025
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF
Heyang Zhao, Chenlu Ye, Quanquan Gu +1
Reverse-Kullback-Leibler (KL) regularization has emerged to be a predominant technique used to enhance policy optimization in reinforcement learning (RL) and reinforcement learning…