Weiqin Chen - RankMe

18 papers A* 1A 1Misc 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Provable Domain Adaptation for Offline Reinforcement Learning with Limited Samples. Trans. Mach. Learn. Res. Weiqin Chen, Xinjie Zhang, Sandipan Mishra, Santiago Paternain
2025	J	`jnl`	ConstrainedSQL: Training LLMs for Text2SQL via Constrained Reinforcement Learning. CoRR Weiqin Chen, Nhan Huu Pham, Michael Robert Glass, Long Hai Vu, Gaetano Rossiello, Dharmashankar Subramanian, Santiago Paternain
2025	J	`jnl`	Filtering Learning Histories Enhances In-Context Reinforcement Learning. CoRR Weiqin Chen, Xinjie Zhang, Dharmashankar Subramanian, Santiago Paternain
2025	J	`jnl`	Random Policy Enables In-Context Reinforcement Learning within Trust Horizons. Trans. Mach. Learn. Res. Weiqin Chen, Santiago Paternain
2025	A*	`conf`	Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search. ICLR Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu
2024	J	`jnl`	A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms. CoRR Weiqin Chen, Mark S. Squillante, Chai Wah Wu, Santiago Paternain
2024	A	`conf`	Adaptive Primal-Dual Method for Safe Reinforcement Learning. AAMAS Weiqin Chen, James Onyejizu, Long Vu, Lan Hoang, Dharmashankar Subramanian, Koushik Kar, Sandipan Mishra, Santiago Paternain
2024	J	`jnl`	Adaptive Primal-Dual Method for Safe Reinforcement Learning. CoRR Weiqin Chen, James Onyejizu, Long Vu, Lan Hoang, Dharmashankar Subramanian, Koushik Kar, Sandipan Mishra, Santiago Paternain
2024	J	`jnl`	Domain Adaptation for Offline Reinforcement Learning with Limited Samples. CoRR Weiqin Chen, Sandipan Mishra, Santiago Paternain
2024	—	`conf`	Generalized constraint for probabilistic safe reinforcement learning. L4DC Weiqin Chen, Santiago Paternain
2024	J	`jnl`	PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making. CoRR Jonathan Light, Sixue Xing, Yuanzhe Liu, Weiqin Chen, Min Cai, Xiusi Chen, Guanzhi Wang, Wei Cheng, Yisong Yue, Ziniu Hu
2024	J	`jnl`	Probabilistic Constraint for Safety-Critical Reinforcement Learning. IEEE Trans. Autom. Control. Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain
2024	J	`jnl`	SAD: State-Action Distillation for In-Context Reinforcement Learning under Random Policies. CoRR Weiqin Chen, Santiago Paternain
2024	J	`jnl`	Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search. CoRR Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu
2023	J	`jnl`	Open Problems and Modern Solutions for Deep Reinforcement Learning. CoRR Weiqin Chen
2023	Misc	`conf`	Policy Gradients for Probabilistic Constrained Reinforcement Learning. CISS Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain
2023	J	`jnl`	Probabilistic Constraint for Safety-Critical Reinforcement Learning. CoRR Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain
2022	J	`jnl`	Policy Gradients for Probabilistic Constrained Reinforcement Learning. CoRR Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain