Lingxiao Wang

According to our database, Lingxiao Wang authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

False Correlation Reduction for Offline Reinforcement Learning.

Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning.

Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li

Artif. Intell., January, 2024

2023

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.

Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Addressing Hindsight Bias in Multigoal Reinforcement Learning.

Chenjia Bai, Lingxiao Wang, Yixin Wang, Zhaoran Wang, Rui Zhao, Chenyao Bai, Peng Liu

IEEE Trans. Cybern., 2023

Privileged Knowledge Distillation for Sim-to-Real Policy Generalization.

Haoran He, Chenjia Bai, Hang Lai, Lingxiao Wang, Weinan Zhang

CoRR, 2023

Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics.

Sirui Zheng, Lingxiao Wang, Shuang Qiu, Zuyue Fu, Zhuoran Yang, Csaba Szepesvári, Zhaoran Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency.

Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models.

Yufeng Zhang, Boyi Liu, Qi Cai, Lingxiao Wang, Zhaoran Wang

CoRR, 2022

Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency.

Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang

CoRR, 2022

Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning.

Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2022

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning.

Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning.

Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Zhaoran Wang, Jing Jiang

CoRR, 2021

Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach.

Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha

CoRR, 2021

Provably Efficient Causal Reinforcement Learning with Confounded Observational Data.

Lingxiao Wang, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Bottleneck for Robust Self-Supervised Exploration.

Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Principled Exploration via Optimistic Bootstrapping and Backward Induction.

Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.

Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao

CoRR, 2020

Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning.

Lingxiao Wang, Zhuoran Yang, Zhaoran Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

On the Global Optimality of Model-Agnostic Meta-Learning.

Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

Neural Policy Gradient Methods: Global Optimality and Rates of Convergence.

Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Statistical-Computational Tradeoff in Single Index Models.

Lingxiao Wang, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019