distributionally robust reinforcement learning 1exploration-exploitation tradeoff 1interactive data collection 1robust inventory control 1robust markov decision processes 1sample complexity 1
From the 1 of 3 linked papers with an AI index.
3 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.LG2024
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
Rui Yang, Xiaoman Pan, Feng Luo +4
We consider the problem of multi-objective alignment of foundation models with human preferences, which is a critical step towards helpful and harmless AI systems. However, it is g…
cs.LG2024
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint
Wei Xiong, Hanze Dong, Chenlu Ye +5
This paper studies the alignment process of generative models with Reinforcement Learning from Human Feedback (RLHF). We first identify the primary challenges of existing popular m…