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What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator

Oct 19, 2020
Hongyao Tang, Zhaopeng Meng, Jianye HAO, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang

* Preprint version 

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Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning

Oct 07, 2020
Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu


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KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge

Feb 18, 2020
Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng


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Efficient meta reinforcement learning via meta goal generation

Nov 10, 2019
Haotian Fu, Hongyao Tang, Jianye Hao


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Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction

May 27, 2019
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang

* 10 pages for paper and 6 pages for the supplementary material 

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Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces

Mar 12, 2019
Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan


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Hierarchical Deep Multiagent Reinforcement Learning

Sep 25, 2018
Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang


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An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems

May 13, 2018
Hongyao Tang, Li Wang, Zan Wang, Tim Baarslag, Jianye Hao

* 9 pages, 5 figures 

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