• 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 64 matches

• 2025
• 
  Huiling Liu, Peng Liu, Chenjia Bai:
  Combining long and short spatiotemporal reasoning for deep reinforcement learning. Neurocomputing 619: 129165 (2025)
• 2024
• 
  Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang:
  IOB: integrating optimization transfer and behavior transfer for multi-policy reuse. Auton. Agents Multi Agent Syst. 38(1): 3 (2024)
• 
  Cangning Fan, Peng Liu, Wei Zhao:
  Curriculum adaptation method based on graph neural networks for universal domain adaptation. Expert Syst. Appl. 255: 124509 (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)
• 
  Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang:
  Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8762-8782 (2024)
• 
  Peng Liu, Gong Li, Wei Zhao, Xianglong Tang:
  A coupling method of learning structured support correlation filters for visual tracking. Vis. Comput. 40(1): 181-199 (2024)
• 
  Peng Liu, Gong Li, Wei Zhao, Xianglong Tang:
  Correction: A coupling method of learning structured support correlation filters for visual tracking. Vis. Comput. 40(9): 6407 (2024)
• 2023
• 
  Peng Liu, Gong Li, Wei Zhao, Xianglong Tang:
  Channel-Weighted Structured Correlation Filters for UAV Tracking. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)
• 
  Yingnan Zhao, Peng Liu, Wei Zhao, Xianglong Tang:
  Variational Diversity Maximization for Hierarchical Skill Discovery. Neural Process. Lett. 55(1): 839-855 (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)
• 
  Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li:
  Behavior Contrastive Learning for Unsupervised Skill Discovery. ICML 2023: 39183-39204
• 
  Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li:
  Behavior Contrastive Learning for Unsupervised Skill Discovery. CoRR abs/2305.04477 (2023)
• 
  Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang:
  IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse. CoRR abs/2308.07351 (2023)
• 2022
• 
  Ting Xiao, Cangning Fan, Peng Liu, Hongwei Liu:
  Simultaneously Improve Transferability and Discriminability for Adversarial Domain Adaptation. Entropy 24(1): 44 (2022)
• 
  Qinghua Huang, Hao Luo, Cui Yang, Jianyi Li, Qifeng Deng, Peng Liu, Maoqing Fu, Le Li, Xuelong Li:
  Anatomical prior based vertebra modelling for reappearance of human spines. Neurocomputing 500: 750-760 (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
• 
  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)
• 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
• 
  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)
• 
  Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu:
  Exploration in Deep Reinforcement Learning: A Comprehensive Survey. CoRR abs/2109.06668 (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)
• 2020
• 
  Peng Liu, Ting Xiao, Cangning Fan, Wei Zhao, Xianglong Tang, Hongwei Liu:
  Importance-weighted conditional adversarial network for unsupervised domain adaptation. Expert Syst. Appl. 155: 113404 (2020)
• 
  Cangning Fan, Peng Liu, Ting Xiao, Wei Zhao, Xianglong Tang:
  Domain adaptation based on domain-invariant and class-distinguishable feature learning using multiple adversarial networks. Neurocomputing 411: 178-192 (2020)
• 
  Weiyi Ang, Chenjia Bai, Chao Cai, Yingnan Zhao, Peng Liu:
  深度强化学习中稀疏奖励问题研究综述 (Survey on Sparse Reward in Deep Reinforcement Learning). 计算机科学 47(3): 182-191 (2020)
• 
  Peng Liu, Chenjia Bai, Yingnan Zhao, Chenyao Bai, Wei Zhao, Xianglong Tang:
  Generating attentive goals for prioritized hindsight reinforcement learning. Knowl. Based Syst. 203: 106140 (2020)
• 
  Yingnan Zhao, Peng Liu, Chenjia Bai, Wei Zhao, Xianglong Tang:
  Obtaining accurate estimated action values in categorical distributional reinforcement learning. Knowl. Based Syst. 194: 105511 (2020)
• 
  Fei Du, Peng Liu, Wei Zhao, Xianglong Tang:
  Joint Channel Reliability and Correlation Filters Learning for Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 30(6): 1625-1638 (2020)
• 
  Chang Liu, Peng Liu, Wei Zhao, Xianglong Tang:
  Visual Tracking by Structurally Optimizing Pre-Trained CNN. IEEE Trans. Circuits Syst. Video Technol. 30(9): 3153-3166 (2020)

skipping 34 more matches