Lingxiao Wang - RankMe

32 papers A* 11Misc 1Journal 20

Year	Rank	Type	Title / Venue / Authors
2024	Misc	`conf`	Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective. CoRL Haoran He, Peilin Wu, Chenjia Bai, Hang Lai, Lingxiao Wang, Ling Pan, Xiaolin Hu, Weinan Zhang
2024	J	`jnl`	False Correlation Reduction for Offline Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang
2024	J	`jnl`	Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Chenjia Bai, Ting Xiao, Zhoufan Zhu, Lingxiao Wang, Fan Zhou, Animesh Garg, Bin He, Peng Liu, Zhaoran Wang
2024	J	`jnl`	Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning. CoRR Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
2024	J	`jnl`	Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning. Artif. Intell. Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
2023	J	`jnl`	Addressing Hindsight Bias in Multigoal Reinforcement Learning. IEEE Trans. Cybern. Chenjia Bai, Lingxiao Wang, Yixin Wang, Zhaoran Wang, Rui Zhao, Chenyao Bai, Peng Liu
2023	A*	`conf`	Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics. ICLR Sirui Zheng, Lingxiao Wang, Shuang Qiu, Zuyue Fu, Zhuoran Yang, Csaba Szepesvári, Zhaoran Wang
2023	J	`jnl`	Privileged Knowledge Distillation for Sim-to-Real Policy Generalization. CoRR Haoran He, Chenjia Bai, Hang Lai, Lingxiao Wang, Weinan Zhang
2023	A*	`conf`	Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. ICLR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2023	J	`jnl`	Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang
2022	J	`jnl`	An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models. CoRR Yufeng Zhang, Boyi Liu, Qi Cai, Lingxiao Wang, Zhaoran Wang
2022	A*	`conf`	Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. ICML Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. CoRR Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. CoRR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2022	A*	`conf`	Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. ICLR Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
2022	J	`jnl`	Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. CoRR Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
2021	A*	`conf`	Dynamic Bottleneck for Robust Self-Supervised Exploration. NeurIPS Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
2021	J	`jnl`	Dynamic Bottleneck for Robust Self-Supervised Exploration. CoRR Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
2021	J	`jnl`	Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach. CoRR Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha
2021	A*	`conf`	Principled Exploration via Optimistic Bootstrapping and Backward Induction. ICML Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
2021	J	`jnl`	Principled Exploration via Optimistic Bootstrapping and Backward Induction. CoRR Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
2021	A*	`conf`	Provably Efficient Causal Reinforcement Learning with Confounded Observational Data. NeurIPS Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning. CoRR Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Zhaoran Wang, Jing Jiang
2020	A*	`conf`	Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. ICML Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. CoRR Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
2020	A*	`conf`	Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. ICLR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	A*	`conf`	On the Global Optimality of Model-Agnostic Meta-Learning. ICML Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	On the Global Optimality of Model-Agnostic Meta-Learning. CoRR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Provably Efficient Causal Reinforcement Learning with Confounded Observational Data. CoRR Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. CoRR Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao
2019	J	`jnl`	Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. CoRR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2019	A*	`conf`	Statistical-Computational Tradeoff in Single Index Models. NeurIPS Lingxiao Wang, Zhuoran Yang, Zhaoran Wang