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Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection


Nov 17, 2022
Yang Yang, Hongjian Sun, Jialei Gong, Yali Du, Di Yu

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Contextual Transformer for Offline Meta Reinforcement Learning


Nov 15, 2022
Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang

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* Accepted by Foundation Models for Decision Making Workshop at Neural Information Processing Systems, 2022 

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Fully Decentralized Model-based Policy Optimization for Networked Systems


Jul 13, 2022
Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang

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* 8 pages, 7 figures, accepted by The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) 

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A Review of Safe Reinforcement Learning: Methods, Theory and Applications


May 23, 2022
Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, Alois Knoll

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Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL


Feb 14, 2022
Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang

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* Accepted by International Conference on Learning Representations (ICLR) 2022 

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Learning to Identify Top Elo Ratings: A Dueling Bandits Approach


Jan 20, 2022
Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen

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Generalization in Text-based Games via Hierarchical Reinforcement Learning


Sep 21, 2021
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang

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* 41 pages, 11 figures, EMNLP2021 Findings 

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Learning to Compute Approximate Nash Equilibrium for Normal-form Games


Aug 17, 2021
Zhijian Duan, Yali Du, Jun Wang, Xiaotie Deng

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