Curriculum Offline Imitating Learning
Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu
Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
出版物
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Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu
Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
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Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
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Return-Based Contrastive Representation Learning for Reinforcement Learning
Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Li Jian, Nenghai Yu, Tie-Yan Liu
Ninth International Conference on Learning Representations(ICLR) | January 2021
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RD2: Reward Decomposition with Representation Disentanglement
Zichuan Lin, Derek Yang, Li Zhao, Tao Qin (taoqin), Guangwen Yang, Tie-Yan Liu
Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2020
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Distributional Reward Decomposition for Reinforcement Learning
Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Guangwen Yang, Tie-Yan Liu
Proceedings of the 33th Conference on Neural Information Processing Systems (NeurIPS) | December 2019
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Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu
Proceedings of the 33th Conference on Neural Information Processing Systems (NeurIPS) | December 2019
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Demonstration Actor Critic
Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
November 2019
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Trust Region Evolution Strategies
Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence | February 2019
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Curriculum Offline Imitating Learning
Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu
Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
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Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu
Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
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Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
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Return-Based Contrastive Representation Learning for Reinforcement Learning
Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Li Jian, Nenghai Yu, Tie-Yan Liu
Ninth International Conference on Learning Representations(ICLR) | January 2021
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RD2: Reward Decomposition with Representation Disentanglement
Zichuan Lin, Derek Yang, Li Zhao, Tao Qin (taoqin), Guangwen Yang, Tie-Yan Liu
Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2020
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Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu
Proceedings of the 33th Conference on Neural Information Processing Systems (NeurIPS) | December 2019
-
Distributional Reward Decomposition for Reinforcement Learning
Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Guangwen Yang, Tie-Yan Liu
Proceedings of the 33th Conference on Neural Information Processing Systems (NeurIPS) | December 2019
-
Demonstration Actor Critic
Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
November 2019
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Trust Region Evolution Strategies
Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence | February 2019
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Curriculum Offline Imitating Learning
Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu
Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
-
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu
Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
-
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
-
Return-Based Contrastive Representation Learning for Reinforcement Learning
Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Li Jian, Nenghai Yu, Tie-Yan Liu
Ninth International Conference on Learning Representations(ICLR) | January 2021
-
RD2: Reward Decomposition with Representation Disentanglement
Zichuan Lin, Derek Yang, Li Zhao, Tao Qin (taoqin), Guangwen Yang, Tie-Yan Liu
Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2020
-
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu
Proceedings of the 33th Conference on Neural Information Processing Systems (NeurIPS) | December 2019
-
Distributional Reward Decomposition for Reinforcement Learning
Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Guangwen Yang, Tie-Yan Liu
Proceedings of the 33th Conference on Neural Information Processing Systems (NeurIPS) | December 2019
-
Trust Region Evolution Strategies
Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence | February 2019
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Demonstration Actor Critic
Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
November 2019
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