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A Game-Theoretic Approach to Multi-Agent Trust Region Optimization


Jun 12, 2021
Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang

* A Multi-Agent Trust Region Learning (MATRL) algorithm that augments the single-agent trust region policy optimization with a weak stable fixed point approximated by the policy-space meta-game 

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Causal World Models by Unsupervised Deconfounding of Physical Dynamics


Dec 28, 2020
Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang


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Compositional ADAM: An Adaptive Compositional Solver


Feb 10, 2020
Rasul Tutunov, Minne Li, Jun Wang, Haitham Bou-Ammar


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Multi-View Reinforcement Learning


Oct 18, 2019
Minne Li, Lisheng Wu, Haitham Bou Ammar, Jun Wang

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) 

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Optimizing Object-based Perception and Control by Free-Energy Principle


Mar 04, 2019
Minne Li, Pranav Nashikkar, Jun Wang


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Learning Shared Dynamics with Meta-World Models


Nov 05, 2018
Lisheng Wu, Minne Li, Jun Wang


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Mean Field Multi-Agent Reinforcement Learning


Jul 19, 2018
Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang

* ICML 2018 (Full paper + Long talk) 

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S-OHEM: Stratified Online Hard Example Mining for Object Detection


Aug 15, 2017
Minne Li, Zhaoning Zhang, Hao Yu, Xinyuan Chen, Dongsheng Li

* 9 pages, 3 figures, accepted by CCCV 2017 

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