Publications
2019
Yong Liu, Yujing Hu, Yang Gao, Yingfeng Chen, Changjie Fan. Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns, Proceedings of International Joint Conference on Artificial Intelligence (IJCAI 2019)
PDFWen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou. Reinforcement Learning Experience Reuse with Policy Residual Representation, Proceedings of International Joint Conference on Artificial Intelligence (IJCAI 2019)
PDFHaotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan. Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces, Proceedings of International Joint Conference on Artificial Intelligence (IJCAI 2019)
PDFYujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao. Explicitly Coordinated Policy Iteration, Proceedings of International Joint Conference on Artificial Intelligence (IJCAI 2019)
PDFLinjing Zhang, Zongzhang Zhang, Zhiyuan Pan, Yingfeng Chen, Jiangcheng Zhu, Zhaorong Wang, Meng Wang, Changjie Fan. A framework of dual replay buffer: balancing forgetting and generalization in reinforcement learning, Proceedings of International Joint Conference on Artificial Intelligence (IJCAI 2019 Workshop)
PDFYan Zheng, Ruiming Shen, Xiaofei Xie, Jianye Hao et al. Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning,The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019) [distinguished paper candidate]
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2018
Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan. A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agent, Proceedings of the 32nd International Conference on Neural Information Processing Systems (NIPS 2018)
PDFYaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac. Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid, Proceedings of International Joint Conference on Artificial Intelligence (IJCAI 2018)
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