• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 31 matches

• 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. Artif. Intell. 326: 104048 (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): 1199-1211 (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): 8954-8968 (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 abs/2404.19346 (2024)
• 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): 392-405 (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): 4776-4790 (2023)
• 
  Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang:
  Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. ICLR 2023
• 
  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
• 
  Haoran He, Chenjia Bai, Hang Lai, Lingxiao Wang, Weinan Zhang:
  Privileged Knowledge Distillation for Sim-to-Real Policy Generalization. CoRR abs/2305.18464 (2023)
• 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
• 
  Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang:
  Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. ICML 2022: 18168-18210
• 
  Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, Zhaoran Wang:
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. CoRR abs/2202.11566 (2022)
• 
  Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang:
  Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. CoRR abs/2205.13476 (2022)
• 
  Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang:
  Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. CoRR abs/2207.14800 (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 abs/2212.14852 (2022)
• 2021
• 
  Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang:
  Principled Exploration via Optimistic Bootstrapping and Backward Induction. ICML 2021: 577-587
• 
  Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang:
  Dynamic Bottleneck for Robust Self-Supervised Exploration. NeurIPS 2021: 17007-17020
• 
  Lingxiao Wang, Zhuoran Yang, Zhaoran Wang:
  Provably Efficient Causal Reinforcement Learning with Confounded Observational Data. NeurIPS 2021: 21164-21175
• 
  Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang:
  Principled Exploration via Optimistic Bootstrapping and Backward Induction. CoRR abs/2105.06022 (2021)
• 
  Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha:
  Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach. CoRR abs/2105.08268 (2021)
• 
  Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang:
  Dynamic Bottleneck for Robust Self-Supervised Exploration. CoRR abs/2110.10735 (2021)
• 
  Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Zhaoran Wang, Jing Jiang:
  SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning. CoRR abs/2110.12468 (2021)
• 2020
• 
  Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang:
  Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. ICLR 2020
• 
  Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang:
  On the Global Optimality of Model-Agnostic Meta-Learning. ICML 2020: 9837-9846
• 
  Lingxiao Wang, Zhuoran Yang, Zhaoran Wang:
  Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. ICML 2020: 10092-10103
• 
  Lingxiao Wang, Zhuoran Yang, Zhaoran Wang:
  Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. CoRR abs/2006.11917 (2020)
• 
  Lingxiao Wang, Zhuoran Yang, Zhaoran Wang:
  Provably Efficient Causal Reinforcement Learning with Confounded Observational Data. CoRR abs/2006.12311 (2020)
• 
  Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang:
  On the Global Optimality of Model-Agnostic Meta-Learning. CoRR abs/2006.13182 (2020)
• 
  Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao:
  Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. CoRR abs/2010.08755 (2020)
• 2019
• 
  Lingxiao Wang, Zhuoran Yang, Zhaoran Wang:
  Statistical-Computational Tradeoff in Single Index Models. NeurIPS 2019: 10419-10426

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