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most citedMore Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling

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cs.LG2025

How to Provably Improve Return Conditioned Supervised Learning?

Zhishuai Liu, Yu Yang, Ruhan Wang +2

In sequential decision-making problems, Return-Conditioned Supervised Learning (RCSL) has gained increasing recognition for its simplicity and stability in modern decision-making t…

cs.LG2025

MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning

Yihong Guo, Yu Yang, Pan Xu +1

We study off-dynamics offline reinforcement learning, where the goal is to learn a policy from offline source and limited target datasets with mismatched dynamics. Existing methods…