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Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach


May 18, 2021
Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha


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Reinforcement Learning for Adaptive Mesh Refinement


Mar 01, 2021
Jiachen Yang, Tarik Dzanic, Brenden Petersen, Jun Kudo, Ketan Mittal, Vladimir Tomov, Jean-Sylvain Camier, Tuo Zhao, Hongyuan Zha, Tzanio Kolev, Robert Anderson, Daniel Faissol

* 14 pages, 13 figures 

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GraphOpt: Learning Optimization Models of Graph Formation


Jul 07, 2020
Rakshit Trivedi, Jiachen Yang, Hongyuan Zha


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Learning to Incentivize Other Learning Agents


Jun 10, 2020
Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha

* 19 pages, 11 figures 

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Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery


Dec 07, 2019
Jiachen Yang, Igor Borovikov, Hongyuan Zha


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Single Episode Policy Transfer in Reinforcement Learning


Oct 17, 2019
Jiachen Yang, Brenden Petersen, Hongyuan Zha, Daniel Faissol


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Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization


Sep 23, 2019
Zhi Zhang, Jiachen Yang, Hongyuan Zha


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CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning


Sep 13, 2018
Jiachen Yang, Alireza Nakhaei, David Isele, Hongyuan Zha, Kikuo Fujimura


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Learning Deep Mean Field Games for Modeling Large Population Behavior


Apr 22, 2018
Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha

* Accepted to International Conference on Learning Representations (2018) 

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Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis


Feb 08, 2018
Brenden K. Petersen, Jiachen Yang, Will S. Grathwohl, Chase Cockrell, Claudio Santiago, Gary An, Daniel M. Faissol


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Fake News Mitigation via Point Process Based Intervention


Jun 19, 2017
Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Khalil, Shuang Li, Le Song, Hongyuan Zha

* Point Process, Hawkes Process, Social Networks, Intervention and Control, Reinforcement Learning, ICML 2017 

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