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Learning Top-K Subtask Planning Tree Based on Discriminative Representation Pretraining for Decision-making 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 782-800
Authors:  Jingqing Ruan;   Kaishen Wang;   Qingyang Zhang;   Dengpeng Xing;   Bo Xu
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Reinforcement learning  representation learning  subtask planning  task decomposition  pretraining.  
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs 会议论文
, 澳大利亚, 2023-6
Authors:  Zhang Qingyang;  Yang Yiming;  Ruan Jingqing;  Xiong Xuantang;  Xing Dengpeng;  Xu Bo
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强化学习,分层强化学习  
Latent Landmark Graph for Efficient Exploration-Exploitation Balance in Hierarchical Reinforcement Learning 期刊论文
Machine Intelligence Research, 2023, 页码: 158
Authors:  Zhang Qingyang;  Zhang Hongming;  Xing Dengpeng;  Bo Xu
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Learning in bi-level markov games 会议论文
, Padua, Italy, 2022.7.18-2022.7.23
Authors:  Meng Linghui;  Ruan Jingqing;  Xing Dengpeng;  Xu Bo
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M3: Modularization for Multi-task and Multi-agent Offline Pre-training 会议论文
, London, United Kingdom, 2023.5.29-2023.6.2
Authors:  Meng Linghui;  Ruan Jingqing;  Xiong Xuantang;  Li Xiyun;  Zhang Xi;  Xing Dengpeng;  Xu Bo
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Filtered Observations for Model-Based Multi-agent Reinforcement Learning 会议论文
, Turin, Italy, 2023.9.18-2023.9.22
Authors:  Meng Linghui;  Xiong Xuantang;  Zang Yifan;  Zhang Xi;  Li Guoqi;  Xing Dengpeng;  Xu Bo
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A New Pre-Training Paradigm for Offline Multi-Agent Reinforcement Learning with Suboptimal Data 会议论文
, Seoul, Korea, 2024.4.14-2024.4.19
Authors:  Meng Linghui;  Zhang Xi;  Xing Dengpeng;  Xu Bo
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Learning Playing Piano with Bionic-Constrained Diffusion Policy for Anthropomorphic Hand 期刊论文
Cyborg and Bionic Systems, 2024, 卷号: 5, 页码: 0104
Authors:  Yang YM(杨依明);  Wang ZC(王泽昌);  Xing DP(邢登鹏);  Wang P(王鹏)
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Efficient Spatiotemporal Transformer for Robotic Reinforcement Learning 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 3, 页码: 7982-7989
Authors:  Yang YM(杨依明);  Xing DP(邢登鹏);  Xu B(徐波)
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Explainable Reinforcement Learning via a Causal World Model 会议论文
Proceedings of the 32nd International Joint Conference on Artificial Intelligence, 中国澳门, 2023-08-22
Authors:  Yu ZY(余忠蔚);  Ruan JQ(阮景晴);  Xing DP(邢登鹏)
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强化学习  可解释人工智能  因果推理