Lingxiao Wang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Neural Dynamics

Partially Observed

Reinforcement Learning

Markov Decision Processes

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning. Artif. Intell. 326 (2024)
Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning. CoRR (2024)
Chenjia Bai, Ting Xiao, Zhoufan Zhu, Lingxiao Wang, Fan Zhou, Animesh Garg, Bin He, Peng Liu, Zhaoran Wang
Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang
False Correlation Reduction for Offline Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Sirui Zheng, Lingxiao Wang, Shuang Qiu, Zuyue Fu, Zhuoran Yang, Csaba Szepesvári, Zhaoran Wang
Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics. ICLR (2023)
Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. ICLR (2023)
Haoran He, Chenjia Bai, Hang Lai, Lingxiao Wang, Weinan Zhang
Privileged Knowledge Distillation for Sim-to-Real Policy Generalization. CoRR (2023)
Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Chenjia Bai, Lingxiao Wang, Yixin Wang, Zhaoran Wang, Rui Zhao, Chenyao Bai, Peng Liu
Addressing Hindsight Bias in Multigoal Reinforcement Learning. IEEE Trans. Cybern. 53 (1) (2023)
Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. ICML (2022)
Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. ICLR (2022)
Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. CoRR (2022)
Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. CoRR (2022)
Yufeng Zhang, Boyi Liu, Qi Cai, Lingxiao Wang, Zhaoran Wang
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models. CoRR (2022)
Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data. NeurIPS (2021)
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
Dynamic Bottleneck for Robust Self-Supervised Exploration. NeurIPS (2021)