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@article{DBLP:journals/ai/BaiWHYZWL24, author = {Chenjia Bai and Lingxiao Wang and Jianye Hao and Zhuoran Yang and Bin Zhao and Zhen Wang and Xuelong Li}, title = {Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning}, journal = {Artif. Intell.}, volume = {326}, pages = {104048}, year = {2024}, url = {https://doi.org/10.1016/j.artint.2023.104048}, doi = {10.1016/J.ARTINT.2023.104048}, timestamp = {Tue, 26 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/ai/BaiWHYZWL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/pami/DengFWYBZWJ24, author = {Zhihong Deng and Zuyue Fu and Lingxiao Wang and Zhuoran Yang and Chenjia Bai and Tianyi Zhou and Zhaoran Wang and Jing Jiang}, title = {False Correlation Reduction for Offline Reinforcement Learning}, journal = {{IEEE} Trans. Pattern Anal. Mach. Intell.}, volume = {46}, number = {2}, pages = {1199--1211}, year = {2024}, url = {https://doi.org/10.1109/TPAMI.2023.3328397}, doi = {10.1109/TPAMI.2023.3328397}, timestamp = {Fri, 26 Jan 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/pami/DengFWYBZWJ24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/tnn/BaiXZWZGHLW24, author = {Chenjia Bai and Ting Xiao and Zhoufan Zhu and Lingxiao Wang and Fan Zhou and Animesh Garg and Bin He and Peng Liu and Zhaoran Wang}, title = {Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning}, journal = {{IEEE} Trans. Neural Networks Learn. Syst.}, volume = {35}, number = {7}, pages = {8954--8968}, year = {2024}, url = {https://doi.org/10.1109/TNNLS.2022.3217189}, doi = {10.1109/TNNLS.2022.3217189}, timestamp = {Fri, 02 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/tnn/BaiXZWZGHLW24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2404-19346, author = {Chenjia Bai and Lingxiao Wang and Jianye Hao and Zhuoran Yang and Bin Zhao and Zhen Wang and Xuelong Li}, title = {Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning}, journal = {CoRR}, volume = {abs/2404.19346}, year = {2024}, url = {https://doi.org/10.48550/arXiv.2404.19346}, doi = {10.48550/ARXIV.2404.19346}, eprinttype = {arXiv}, eprint = {2404.19346}, timestamp = {Mon, 22 Jul 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2404-19346.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/tcyb/BaiWWWZBL23, author = {Chenjia Bai and Lingxiao Wang and Yixin Wang and Zhaoran Wang and Rui Zhao and Chenyao Bai and Peng Liu}, title = {Addressing Hindsight Bias in Multigoal Reinforcement Learning}, journal = {{IEEE} Trans. Cybern.}, volume = {53}, number = {1}, pages = {392--405}, year = {2023}, url = {https://doi.org/10.1109/TCYB.2021.3107202}, doi = {10.1109/TCYB.2021.3107202}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/tcyb/BaiWWWZBL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/tnn/BaiLLWZHW23, author = {Chenjia Bai and Peng Liu and Kaiyu Liu and Lingxiao Wang and Yingnan Zhao and Lei Han and Zhaoran Wang}, title = {Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning}, journal = {{IEEE} Trans. Neural Networks Learn. Syst.}, volume = {34}, number = {8}, pages = {4776--4790}, year = {2023}, url = {https://doi.org/10.1109/TNNLS.2021.3129160}, doi = {10.1109/TNNLS.2021.3129160}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/tnn/BaiLLWZHW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/iclr/0003CYW23, author = {Lingxiao Wang and Qi Cai and Zhuoran Yang and Zhaoran Wang}, title = {Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency}, booktitle = {The Eleventh International Conference on Learning Representations, {ICLR} 2023, Kigali, Rwanda, May 1-5, 2023}, publisher = {OpenReview.net}, year = {2023}, url = {https://openreview.net/forum?id=8oJHwb3Sgp}, timestamp = {Wed, 24 Jul 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/iclr/0003CYW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/iclr/Zheng0QFYSW23, author = {Sirui Zheng and Lingxiao Wang and Shuang Qiu and Zuyue Fu and Zhuoran Yang and Csaba Szepesv{\'{a}}ri and Zhaoran Wang}, title = {Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics}, booktitle = {The Eleventh International Conference on Learning Representations, {ICLR} 2023, Kigali, Rwanda, May 1-5, 2023}, publisher = {OpenReview.net}, year = {2023}, url = {https://openreview.net/forum?id=9kBCMNb5mc}, timestamp = {Wed, 24 Jul 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/iclr/Zheng0QFYSW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2305-18464, author = {Haoran He and Chenjia Bai and Hang Lai and Lingxiao Wang and Weinan Zhang}, title = {Privileged Knowledge Distillation for Sim-to-Real Policy Generalization}, journal = {CoRR}, volume = {abs/2305.18464}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2305.18464}, doi = {10.48550/ARXIV.2305.18464}, eprinttype = {arXiv}, eprint = {2305.18464}, timestamp = {Fri, 09 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2305-18464.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/iclr/Bai0YDG0W22, author = {Chenjia Bai and Lingxiao Wang and Zhuoran Yang and Zhi{-}Hong Deng and Animesh Garg and Peng Liu and Zhaoran Wang}, title = {Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning}, booktitle = {The Tenth International Conference on Learning Representations, {ICLR} 2022, Virtual Event, April 25-29, 2022}, publisher = {OpenReview.net}, year = {2022}, url = {https://openreview.net/forum?id=Y4cs1Z3HnqL}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/iclr/Bai0YDG0W22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/QiuWBYW22, author = {Shuang Qiu and Lingxiao Wang and Chenjia Bai and Zhuoran Yang and Zhaoran Wang}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Contrastive {UCB:} Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {18168--18210}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/qiu22c.html}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/QiuWBYW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2202-11566, author = {Chenjia Bai and Lingxiao Wang and Zhuoran Yang and Zhihong Deng and Animesh Garg and Peng Liu and Zhaoran Wang}, title = {Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning}, journal = {CoRR}, volume = {abs/2202.11566}, year = {2022}, url = {https://arxiv.org/abs/2202.11566}, eprinttype = {arXiv}, eprint = {2202.11566}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2202-11566.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2205-13476, author = {Lingxiao Wang and Qi Cai and Zhuoran Yang and Zhaoran Wang}, title = {Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency}, journal = {CoRR}, volume = {abs/2205.13476}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2205.13476}, doi = {10.48550/ARXIV.2205.13476}, eprinttype = {arXiv}, eprint = {2205.13476}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2205-13476.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2207-14800, author = {Shuang Qiu and Lingxiao Wang and Chenjia Bai and Zhuoran Yang and Zhaoran Wang}, title = {Contrastive {UCB:} Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning}, journal = {CoRR}, volume = {abs/2207.14800}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2207.14800}, doi = {10.48550/ARXIV.2207.14800}, eprinttype = {arXiv}, eprint = {2207.14800}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2207-14800.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2212-14852, author = {Yufeng Zhang and Boyi Liu and Qi Cai and Lingxiao Wang and Zhaoran Wang}, title = {An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models}, journal = {CoRR}, volume = {abs/2212.14852}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2212.14852}, doi = {10.48550/ARXIV.2212.14852}, eprinttype = {arXiv}, eprint = {2212.14852}, timestamp = {Fri, 19 Jul 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2212-14852.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/BaiWHHG0W21, author = {Chenjia Bai and Lingxiao Wang and Lei Han and Jianye Hao and Animesh Garg and Peng Liu and Zhaoran Wang}, editor = {Marina Meila and Tong Zhang}, title = {Principled Exploration via Optimistic Bootstrapping and Backward Induction}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {577--587}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/bai21d.html}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/BaiWHHG0W21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/BaiWHGHLW21, author = {Chenjia Bai and Lingxiao Wang and Lei Han and Animesh Garg and Jianye Hao and Peng Liu and Zhaoran Wang}, editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan}, title = {Dynamic Bottleneck for Robust Self-Supervised Exploration}, booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual}, pages = {17007--17020}, year = {2021}, url = {https://proceedings.neurips.cc/paper/2021/hash/8d3369c4c086f236fabf61d614a32818-Abstract.html}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/BaiWHGHLW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/WangYW21, author = {Lingxiao Wang and Zhuoran Yang and Zhaoran Wang}, editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan}, title = {Provably Efficient Causal Reinforcement Learning with Confounded Observational Data}, booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual}, pages = {21164--21175}, year = {2021}, url = {https://proceedings.neurips.cc/paper/2021/hash/b0b79da57b95837f14be95aaa4d54cf8-Abstract.html}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/WangYW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2105-06022, author = {Chenjia Bai and Lingxiao Wang and Lei Han and Jianye Hao and Animesh Garg and Peng Liu and Zhaoran Wang}, title = {Principled Exploration via Optimistic Bootstrapping and Backward Induction}, journal = {CoRR}, volume = {abs/2105.06022}, year = {2021}, url = {https://arxiv.org/abs/2105.06022}, eprinttype = {arXiv}, eprint = {2105.06022}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2105-06022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2105-08268, author = {Yan Li and Lingxiao Wang and Jiachen Yang and Ethan Wang and Zhaoran Wang and Tuo Zhao and Hongyuan Zha}, title = {Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: {A} Principled Approach}, journal = {CoRR}, volume = {abs/2105.08268}, year = {2021}, url = {https://arxiv.org/abs/2105.08268}, eprinttype = {arXiv}, eprint = {2105.08268}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2105-08268.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2110-10735, author = {Chenjia Bai and Lingxiao Wang and Lei Han and Animesh Garg and Jianye Hao and Peng Liu and Zhaoran Wang}, title = {Dynamic Bottleneck for Robust Self-Supervised Exploration}, journal = {CoRR}, volume = {abs/2110.10735}, year = {2021}, url = {https://arxiv.org/abs/2110.10735}, eprinttype = {arXiv}, eprint = {2110.10735}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2110-10735.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2110-12468, author = {Zhihong Deng and Zuyue Fu and Lingxiao Wang and Zhuoran Yang and Chenjia Bai and Zhaoran Wang and Jing Jiang}, title = {{SCORE:} Spurious COrrelation REduction for Offline Reinforcement Learning}, journal = {CoRR}, volume = {abs/2110.12468}, year = {2021}, url = {https://arxiv.org/abs/2110.12468}, eprinttype = {arXiv}, eprint = {2110.12468}, timestamp = {Mon, 22 Jul 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2110-12468.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/iclr/WangCYW20, author = {Lingxiao Wang and Qi Cai and Zhuoran Yang and Zhaoran Wang}, title = {Neural Policy Gradient Methods: Global Optimality and Rates of Convergence}, booktitle = {8th International Conference on Learning Representations, {ICLR} 2020, Addis Ababa, Ethiopia, April 26-30, 2020}, publisher = {OpenReview.net}, year = {2020}, url = {https://openreview.net/forum?id=BJgQfkSYDS}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/iclr/WangCYW20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/WangCYW20, author = {Lingxiao Wang and Qi Cai and Zhuoran Yang and Zhaoran Wang}, title = {On the Global Optimality of Model-Agnostic Meta-Learning}, booktitle = {Proceedings of the 37th International Conference on Machine Learning, {ICML} 2020, 13-18 July 2020, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {119}, pages = {9837--9846}, publisher = {{PMLR}}, year = {2020}, url = {http://proceedings.mlr.press/v119/wang20b.html}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/WangCYW20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/WangYW20, author = {Lingxiao Wang and Zhuoran Yang and Zhaoran Wang}, title = {Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning}, booktitle = {Proceedings of the 37th International Conference on Machine Learning, {ICML} 2020, 13-18 July 2020, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {119}, pages = {10092--10103}, publisher = {{PMLR}}, year = {2020}, url = {http://proceedings.mlr.press/v119/wang20z.html}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/WangYW20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2006-11917, author = {Lingxiao Wang and Zhuoran Yang and Zhaoran Wang}, title = {Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning}, journal = {CoRR}, volume = {abs/2006.11917}, year = {2020}, url = {https://arxiv.org/abs/2006.11917}, eprinttype = {arXiv}, eprint = {2006.11917}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2006-11917.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2006-12311, author = {Lingxiao Wang and Zhuoran Yang and Zhaoran Wang}, title = {Provably Efficient Causal Reinforcement Learning with Confounded Observational Data}, journal = {CoRR}, volume = {abs/2006.12311}, year = {2020}, url = {https://arxiv.org/abs/2006.12311}, eprinttype = {arXiv}, eprint = {2006.12311}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2006-12311.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2006-13182, author = {Lingxiao Wang and Qi Cai and Zhuoran Yang and Zhaoran Wang}, title = {On the Global Optimality of Model-Agnostic Meta-Learning}, journal = {CoRR}, volume = {abs/2006.13182}, year = {2020}, url = {https://arxiv.org/abs/2006.13182}, eprinttype = {arXiv}, eprint = {2006.13182}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2006-13182.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2010-08755, author = {Chenjia Bai and Peng Liu and Zhaoran Wang and Kaiyu Liu and Lingxiao Wang and Yingnan Zhao}, title = {Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning}, journal = {CoRR}, volume = {abs/2010.08755}, year = {2020}, url = {https://arxiv.org/abs/2010.08755}, eprinttype = {arXiv}, eprint = {2010.08755}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2010-08755.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/WangYW19, author = {Lingxiao Wang and Zhuoran Yang and Zhaoran Wang}, editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alch{\'{e}}{-}Buc and Emily B. Fox and Roman Garnett}, title = {Statistical-Computational Tradeoff in Single Index Models}, booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada}, pages = {10419--10426}, year = {2019}, url = {https://proceedings.neurips.cc/paper/2019/hash/13d4635deccc230c944e4ff6e03404b5-Abstract.html}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/WangYW19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1909-01150, author = {Lingxiao Wang and Qi Cai and Zhuoran Yang and Zhaoran Wang}, title = {Neural Policy Gradient Methods: Global Optimality and Rates of Convergence}, journal = {CoRR}, volume = {abs/1909.01150}, year = {2019}, url = {http://arxiv.org/abs/1909.01150}, eprinttype = {arXiv}, eprint = {1909.01150}, timestamp = {Wed, 27 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-1909-01150.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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