Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise. - Yue Wang 068; Shaofeng Zou (UAI, 2020)

Online Robust Reinforcement Learning with Model Uncertainty. - Yue Wang 068; Shaofeng Zou (NeurIPS, 2021)

Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation. - Yue Wang 068; Shaofeng Zou; Yi Zhou 017 (NeurIPS, 2021)

Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation. - Yue Wang 068; Shaofeng Zou; Yi Zhou 017 (CoRR, 2021)

Policy Gradient Method For Robust Reinforcement Learning. - Yue Wang 068; Shaofeng Zou (ICML, 2022)

Data-Driven Robust Multi-Agent Reinforcement Learning. - Yudan Wang; Yue Wang 068; Yi Zhou 017; Alvaro Velasquez; Shaofeng Zou (MLSP, 2022)

Robust Constrained Reinforcement Learning. - Yue Wang 068; Fei Miao; Shaofeng Zou (CoRR, 2022)

A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems. - Sihong He; Yue Wang 068; Shuo Han 002; Shaofeng Zou; Fei Miao (CoRR, 2022)

Robust Average-Reward Markov Decision Processes. - Yue Wang 068; Alvaro Velasquez; George K. Atia; Ashley Prater-Bennette; Shaofeng Zou (AAAI, 2023)

Model-Free Robust Average-Reward Reinforcement Learning. - Yue Wang 068; Alvaro Velasquez; George K. Atia; Ashley Prater-Bennette; Shaofeng Zou (ICML, 2023)

A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems. - Sihong He; Yue Wang 068; Shuo Han 002; Shaofeng Zou; Fei Miao (IROS, 2023)

Distributionally Robust Optimization Efficiently Solves Offline Reinforcement Learning. - Yue Wang 068; Yuting Hu; Jinjun Xiong; Shaofeng Zou (CoRR, 2023)

Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation. - Yudan Wang; Yue Wang 068; Yi Zhou 017; Shaofeng Zou (ICML, 2024)

A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch. - Yue Wang 068; Zhongchang Sun; Shaofeng Zou (NeurIPS, 2024)

Model-Free Robust Reinforcement Learning with Sample Complexity Analysis. - Yudan Wang; Shaofeng Zou; Yue Wang 068 (UAI, 2024)

Robust Average-Reward Reinforcement Learning. - Yue Wang 068; Alvaro Velasquez; George K. Atia; Ashley Prater-Bennette; Shaofeng Zou (J. Artif. Intell. Res., 2024)

Achieving the Asymptotically Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach. - Yue Wang 068; Jinjun Xiong; Shaofeng Zou (Trans. Mach. Learn. Res., 2024)

Finite-time error bounds for Greedy-GQ. - Yue Wang 068; Yi Zhou 017; Shaofeng Zou (Mach. Learn., 2024)

Provably Efficient Offline Reinforcement Learning With Trajectory-Wise Reward. - Tengyu Xu; Yue Wang 068; Shaofeng Zou; Yingbin Liang (IEEE Trans. Inf. Theory, 2024)

Hybrid Offline Passive Grammatical Inference and Online Planning for Non-Markovian Tasks. - Mahyar Alinejad; Alvaro Velasquez; Yue Wang 068; George K. Atia (ICASSP, 2025)

Model-Free Offline Reinforcement Learning with Enhanced Robustness. - Chi Zhang; Zain Ulabedeen Farhat; George K. Atia; Yue Wang 068 (ICLR, 2025)

Bidirectional End-to-End Framework for Transfer from Abstract Models in Non-Markovian Reinforcement Learning. - Mahyar Alinejad; Precious Nwaorgu; Chinwendu Enyioha; Yue Wang 068; Alvaro Velasquez; George Atia (NeuS, 2025)

Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning. - Chi Zhang; Zi-Jia Wang 001; George K. Atia; Sihong He; Yue Wang 068 (CoRR, 2025)

Online Robust Multi-Agent Reinforcement Learning under Model Uncertainties. - Zain Ulabedeen Farhat; Debamita Ghosh; George K. Atia; Yue Wang 068 (CoRR, 2025)

Provably Near-Optimal Distributionally Robust Reinforcement Learning in Online Settings. - Debamita Ghosh; George K. Atia; Yue Wang 068 (CoRR, 2025)