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Zongqing Lu
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Model-Based Decentralized Policy Optimization


Feb 16, 2023
Hao Luo, Jiechuan Jiang, Zongqing Lu

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* 24 pages 
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Learning Multi-Object Positional Relationships via Emergent Communication


Feb 16, 2023
Yicheng Feng, Boshi An, Zongqing Lu

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* 15 pages 
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Best Possible Q-Learning


Feb 02, 2023
Jiechuan Jiang, Zongqing Lu

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* 14 pages 
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A Survey on Transformers in Reinforcement Learning


Jan 08, 2023
Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye

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Decentralized Policy Optimization


Nov 06, 2022
Kefan Su, Zongqing Lu

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* 14 pages 
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Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning


Oct 25, 2022
Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu

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Multi-Agent Automated Machine Learning


Oct 17, 2022
Zhaozhi Wang, Kefan Su, Jian Zhang, Huizhu Jia, Qixiang Ye, Xiaodong Xie, Zongqing Lu

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State Advantage Weighting for Offline RL


Oct 09, 2022
Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li

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Multi-Agent Sequential Decision-Making via Communication


Sep 26, 2022
Ziluo Ding, Kefan Su, Weixin Hong, Liwen Zhu, Tiejun Huang, Zongqing Lu

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* 20 pages 
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More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization


Sep 26, 2022
Jiangxing Wang, Deheng Ye, Zongqing Lu

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* 18 pages 
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