Statistical-Computational Tradeoff in Single Index Models. - Lingxiao Wang 003; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2019)

Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. - Lingxiao Wang 003; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (ICLR, 2020)

On the Global Optimality of Model-Agnostic Meta-Learning. - Lingxiao Wang 003; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2020)

Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. - Lingxiao Wang 003; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2020)

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. - Chenjia Bai; Peng Liu 008; Zhaoran Wang 001; Kaiyu Liu; Lingxiao Wang 003; Yingnan Zhao 002 (CoRR, 2020)

Principled Exploration via Optimistic Bootstrapping and Backward Induction. - Chenjia Bai; Lingxiao Wang 003; Lei Han 001; Jianye Hao; Animesh Garg; Peng Liu 008; Zhaoran Wang 001 (ICML, 2021)

Dynamic Bottleneck for Robust Self-Supervised Exploration. - Chenjia Bai; Lingxiao Wang 003; Lei Han 001; Animesh Garg; Jianye Hao; Peng Liu 008; Zhaoran Wang 001 (NeurIPS, 2021)

Provably Efficient Causal Reinforcement Learning with Confounded Observational Data. - Lingxiao Wang 003; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2021)

Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach. - Yan Li 074; Lingxiao Wang 003; Jiachen Yang; Ethan Wang; Zhaoran Wang 001; Tuo Zhao; Hongyuan Zha (CoRR, 2021)

SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning. - Zhihong Deng 002; Zuyue Fu; Lingxiao Wang 003; Zhuoran Yang; Chenjia Bai; Zhaoran Wang 001; Jing Jiang 002 (CoRR, 2021)

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. - Chenjia Bai; Lingxiao Wang 003; Zhuoran Yang; Zhi-Hong Deng 002; Animesh Garg; Peng Liu 008; Zhaoran Wang 001 (ICLR, 2022)

Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. - Shuang Qiu; Lingxiao Wang 003; Chenjia Bai; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2022)

Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. - Lingxiao Wang 003; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (CoRR, 2022)

An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models. - Yufeng Zhang 007; Boyi Liu 001; Qi Cai; Lingxiao Wang 003; Zhaoran Wang 001 (CoRR, 2022)

Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. - Lingxiao Wang 003; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (ICLR, 2023)

Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics. - Sirui Zheng; Lingxiao Wang 003; Shuang Qiu; Zuyue Fu; Zhuoran Yang; Csaba Szepesvári; Zhaoran Wang 001 (ICLR, 2023)

Privileged Knowledge Distillation for Sim-to-Real Policy Generalization. - Haoran He; Chenjia Bai; Hang Lai; Lingxiao Wang 003; Weinan Zhang 001 (CoRR, 2023)

Addressing Hindsight Bias in Multigoal Reinforcement Learning. - Chenjia Bai; Lingxiao Wang 003; Yixin Wang; Zhaoran Wang 001; Rui Zhao; Chenyao Bai; Peng Liu 008 (IEEE Trans. Cybern., 2023)

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. - Chenjia Bai; Peng Liu 008; Kaiyu Liu; Lingxiao Wang 003; Yingnan Zhao 002; Lei Han 001; Zhaoran Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective. - Haoran He; Peilin Wu; Chenjia Bai; Hang Lai; Lingxiao Wang 003; Ling Pan; Xiaolin Hu; Weinan Zhang 001 (CoRL, 2024)

Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning. - Chenjia Bai; Lingxiao Wang 003; Jianye Hao; Zhuoran Yang; Bin Zhao 001; Zhen Wang 004; Xuelong Li 001 (Artif. Intell., 2024)

False Correlation Reduction for Offline Reinforcement Learning. - Zhihong Deng 002; Zuyue Fu; Lingxiao Wang 003; Zhuoran Yang; Chenjia Bai; Tianyi Zhou 001; Zhaoran Wang 001; Jing Jiang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning. - Chenjia Bai; Ting Xiao; Zhoufan Zhu; Lingxiao Wang 003; Fan Zhou; Animesh Garg; Bin He 003; Peng Liu 008; Zhaoran Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)