Jiachen Yang
Title
Cited by
Cited by
Year
Fake news mitigation via point process based intervention
M Farajtabar, J Yang, X Ye, H Xu, R Trivedi, E Khalil, S Li, L Song, H Zha
International Conference on Machine Learning, 1097-1106, 2017
1242017
Learning Deep Mean Field Games for Modeling Large Population Behavior
J Yang, X Ye, R Trivedi, H Xu, H Zha
International Conference on Learning Representations, 2018
48*2018
Deep Reinforcement Learning and Simulation as a Path Toward Precision Medicine
BK Petersen, J Yang, WS Grathwohl, C Cockrell, C Santiago, G An, ...
Journal of Computational Biology 26 (6), 597-604, 2019
40*2019
Cm3: Cooperative multi-goal multi-stage multi-agent reinforcement learning
J Yang, A Nakhaei, D Isele, K Fujimura, H Zha
International Conference on Learning Representations, 2019
302019
Single Episode Policy Transfer in Reinforcement Learning
J Yang, B Petersen, H Zha, D Faissol
International Conference on Learning Representations, 2019
192019
Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization
Z Zhang, J Yang, H Zha
International Conference on Autonomous Agents and Multi-Agent Systems 19 …, 2020
112020
Graphopt: Learning optimization models of graph formation
R Trivedi, J Yang, H Zha
International Conference on Machine Learning, 9603-9613, 2020
82020
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
J Yang, I Borovikov, H Zha
International Conference on Autonomous Agents and Multi-Agent Systems 19 …, 2020
72020
Learning to Incentivize Other Learning Agents
J Yang, A Li, M Farajtabar, P Sunehag, E Hughes, H Zha
Advances in Neural Information Processing Systems 33, 15208--15219, 2020
42020
Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach
Y Li, L Wang, J Yang, E Wang, Z Wang, T Zhao, H Zha
arXiv preprint arXiv:2105.08268, 2021
12021
Reinforcement Learning for Adaptive Mesh Refinement
J Yang, T Dzanic, B Petersen, J Kudo, K Mittal, V Tomov, JS Camier, ...
arXiv preprint arXiv:2103.01342, 2021
2021
Single Episode Policy Transfer
BK Petersen, DM Faissol, J Yang
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2019
2019
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