dong’s personal blog
Research
My current research focuses on multiagent systems, deep reinforcement learning and smart grid.
Timeline
2020.07 - Now: Researcher in Noah’s Ark Lab, Huawei.
2019.09 - 2020.01: Internship in Quantum Lab, Tencent.
2019.01 - 2019.06: Internship in Fuxi AI Lab, Netease.
2017.09 - 2020.02: Master in Software Engineering, Tianjin University. (TJU-RLLAB, mentor Jianye Hao)
2013.09 - 2017.07: Bachelor in Software Engineering, Tianjin University.
Publication
2020
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Yang, Yaodong, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, and Hongyao Tang. 2020.
“Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning.”
CoRR abs/2002.03939.
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Yang, Yaodong, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, and Zhongyu Wei. 2020.
“Q-Value Path Decomposition for Deep Multiagent Reinforcement Learning.”
CoRR abs/2002.03950.
2019
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Yang, Yaodong, Jianye Hao, Yan Zheng, and Chao Yu. 2019.
“Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework.”
In Proceedings of the 28th International Joint Conference on Artificial Intelligence, 630–636.
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Yang, Yaodong, Jianye Hao, Yan Zheng, Xiaotian Hao, and Bofeng Fu. 2019.
“Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework.”
In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2285–2287.
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Hao, Xiaotian, Weixun Wang, Jianye Hao, and Yaodong Yang. 2019.
“Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems.”
In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 1315–1323.
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Tang, Hongyao, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, and Li Wang. 2019.
“Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction.”
CoRR abs/1905.11100.
2018
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Yang, Yaodong, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, and Goran Strbac. 2018.
“Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid.”
In Proceedings of the 27th International Joint Conference on Artificial Intelligence, 569–575.
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Yang, Yaodong, Jianye Hao, Zan Wang, Mingyang Sun, and Goran Strbac. 2018.
“Recurrent Deep Multiagent Q-Learning for Autonomous Agents in Future Smart Grid.”
In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2136–2138.
Email: yydapple@gmail.com.
Wechat: FederEF.
Copyright
[CC BY-SA 4.0 International License]
