Yue Wang - RankMe

44 papers A* 12A 3Misc 1Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CADENT: Gated Hybrid Distillation for Sample-Efficient Transfer in Reinforcement Learning. CoRR Mahyar Alinejad, Yue Wang, George K. Atia
2026	A*	`conf`	ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning. AAAI Debamita Ghosh, George K. Atia, Yue Wang
2026	J	`jnl`	Robust Transfer Learning with Side Information. CoRR Akram S. Awad, Shihab Ahmed, Yue Wang, George K. Atia
2026	A*	`conf`	Stabilizing Policy Gradient Methods via Reward Profiling. AAAI Shihab Ahmed, El Houcine Bergou, Yue Wang, Aritra Dutta
2025	J	`jnl`	A Finite-Sample Analysis of Distributionally Robust Average-Reward Reinforcement Learning. CoRR Zachary Roch, Chi Zhang, George K. Atia, Yue Wang
2025	A*	`conf`	A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward. ICML Zachary Roch, George K. Atia, Yue Wang
2025	—	`conf`	Bidirectional End-to-End Framework for Transfer from Abstract Models in Non-Markovian Reinforcement Learning. NeuS Mahyar Alinejad, Precious Nwaorgu, Chinwendu Enyioha, Yue Wang, Alvaro Velasquez, George K. Atia
2025	J	`jnl`	Distributionally Robust Markov Games with Average Reward. CoRR Zachary Roch, Yue Wang
2025	Misc	`conf`	Hybrid Offline Passive Grammatical Inference and Online Planning for Non-Markovian Tasks. ICASSP Mahyar Alinejad, Alvaro Velasquez, Yue Wang, George K. Atia
2025	A*	`conf`	Model-Free Offline Reinforcement Learning with Enhanced Robustness. ICLR Chi Zhang, Zain Ulabedeen Farhat, George K. Atia, Yue Wang
2025	J	`jnl`	Online Robust Multi-Agent Reinforcement Learning under Model Uncertainties. CoRR Zain Ulabedeen Farhat, Debamita Ghosh, George K. Atia, Yue Wang
2025	A*	`conf`	Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning. ICML Chi Zhang, Ziying Jia, George K. Atia, Sihong He, Yue Wang
2025	J	`jnl`	Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning. CoRR Chi Zhang, Zi-Jia Wang, George K. Atia, Sihong He, Yue Wang
2025	J	`jnl`	Provably Near-Optimal Distributionally Robust Reinforcement Learning in Online Settings. CoRR Debamita Ghosh, George K. Atia, Yue Wang
2025	J	`jnl`	RLAF: Reinforcement Learning from Automaton Feedback. CoRR Mahyar Alinejad, Alvaro Velasquez, Yue Wang, George K. Atia
2025	J	`jnl`	Scaling Online Distributionally Robust Reinforcement Learning: Sample-Efficient Guarantees with General Function Approximation. CoRR Debamita Ghosh, George K. Atia, Yue Wang
2025	J	`jnl`	Stabilizing Policy Gradient Methods via Reward Profiling. CoRR Shihab Ahmed, El Houcine Bergou, Aritra Dutta, Yue Wang
2024	A*	`conf`	A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch. NeurIPS Yue Wang, Zhongchang Sun, Shaofeng Zou
2024	J	`jnl`	Achieving the Asymptotically Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach. Trans. Mach. Learn. Res. Yue Wang, Jinjun Xiong, Shaofeng Zou
2024	J	`jnl`	Finite-time error bounds for Greedy-GQ. Mach. Learn. Yue Wang, Yi Zhou, Shaofeng Zou
2024	A	`conf`	Model-Free Robust Reinforcement Learning with Sample Complexity Analysis. UAI Yudan Wang, Shaofeng Zou, Yue Wang
2024	J	`jnl`	Model-Free Robust Reinforcement Learning with Sample Complexity Analysis. CoRR Yudan Wang, Shaofeng Zou, Yue Wang
2024	A*	`conf`	Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation. ICML Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou
2024	J	`jnl`	Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation. CoRR Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou
2024	J	`jnl`	Provably Efficient Offline Reinforcement Learning With Trajectory-Wise Reward. IEEE Trans. Inf. Theory Tengyu Xu, Yue Wang, Shaofeng Zou, Yingbin Liang
2024	J	`jnl`	Robust Average-Reward Reinforcement Learning. J. Artif. Intell. Res. Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2023	A	`conf`	A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems. IROS Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
2023	J	`jnl`	Distributionally Robust Optimization Efficiently Solves Offline Reinforcement Learning. CoRR Yue Wang, Yuting Hu, Jinjun Xiong, Shaofeng Zou
2023	A*	`conf`	Model-Free Robust Average-Reward Reinforcement Learning. ICML Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2023	J	`jnl`	Model-Free Robust Average-Reward Reinforcement Learning. CoRR Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2023	A*	`conf`	Robust Average-Reward Markov Decision Processes. AAAI Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2023	J	`jnl`	Robust Average-Reward Markov Decision Processes. CoRR Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2022	J	`jnl`	A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems. CoRR Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
2022	—	`conf`	Data-Driven Robust Multi-Agent Reinforcement Learning. MLSP Yudan Wang, Yue Wang, Yi Zhou, Alvaro Velasquez, Shaofeng Zou
2022	J	`jnl`	Finite-Time Error Bounds for Greedy-GQ. CoRR Yue Wang, Yi Zhou, Shaofeng Zou
2022	A*	`conf`	Policy Gradient Method For Robust Reinforcement Learning. ICML Yue Wang, Shaofeng Zou
2022	J	`jnl`	Policy Gradient Method For Robust Reinforcement Learning. CoRR Yue Wang, Shaofeng Zou
2022	J	`jnl`	Robust Constrained Reinforcement Learning. CoRR Yue Wang, Fei Miao, Shaofeng Zou
2021	J	`jnl`	Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation. CoRR Yue Wang, Shaofeng Zou, Yi Zhou
2021	A*	`conf`	Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation. NeurIPS Yue Wang, Shaofeng Zou, Yi Zhou
2021	A*	`conf`	Online Robust Reinforcement Learning with Model Uncertainty. NeurIPS Yue Wang, Shaofeng Zou
2021	J	`jnl`	Online Robust Reinforcement Learning with Model Uncertainty. CoRR Yue Wang, Shaofeng Zou
2020	A	`conf`	Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise. UAI Yue Wang, Shaofeng Zou
2020	J	`jnl`	Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise. CoRR Yue Wang, Shaofeng Zou