Chen, Weiqin

6 publications

TMLR 2026 Provable Domain Adaptation for Offline Reinforcement Learning with Limited Samples Weiqin Chen, Xinjie Zhang, Sandipan Mishra, Santiago Paternain

TMLR 2025 Random Policy Enables In-Context Reinforcement Learning Within Trust Horizons Weiqin Chen, Santiago Paternain

ICLR 2025 Strategist: Self-Improvement of LLM Decision Making via Bi-Level Tree Search Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu

L4DC 2024 Generalized Constraint for Probabilistic Safe Reinforcement Learning Weiqin Chen, Santiago Paternain

NeurIPSW 2024 PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making Jonathan Light, Sixue Xing, Yuanzhe Liu, Weiqin Chen, Min Cai, Xiusi Chen, Guanzhi Wang, Wei Cheng, Yisong Yue, Ziniu Hu

ICMLW 2024 Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu