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Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping

Nov 05, 2020
Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan

* Accepted by NeurIPS2020 

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Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising

May 12, 2020
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai

* accepted by IJCAI 2020 

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Efficient Deep Reinforcement Learning through Policy Transfer

Feb 19, 2020
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Cheng, Changjie Fan, Zhaodong Wang, Jiajie Peng

* Accepted by AAMAS'2020 as an EXTENDED ABSTRACT 

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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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Multi-Agent Game Abstraction via Graph Attention Neural Network

Nov 25, 2019
Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao

* Accepted by AAAI2020 

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From Few to More: Large-scale Dynamic Multiagent Curriculum Learning

Sep 06, 2019
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao


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Action Semantics Network: Considering the Effects of Actions in Multiagent Systems

Jul 26, 2019
Weixun Wang, Tianpei Yang Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao


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Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning

Sep 10, 2018
Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai

* 10 pages, 8 figures 

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Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach

Mar 01, 2018
Weixun Wang, Jianye Hao, Yixi Wang, Matthew Taylor

* 13 pages, 21 figures 

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