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Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory
17 January 2020
Yunlong Lu
Kai Yan
AI4CE
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Papers citing
"Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory"
3 / 3 papers shown
Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value
International Conference on Machine Learning (ICML), 2023
Young Wu
Jeremy McMahan
Yiding Chen
Yudong Chen
Xiaojin Zhu
Qiaomin Xie
609
4
0
01 Nov 2023
Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems
Bin Zhang
Hangyu Mao
Lijuan Li
Zhiwei Xu
Dapeng Li
Rui Zhao
Guoliang Fan
OffRL
304
5
0
13 May 2023
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Matej Moravcík
Martin Schmid
Neil Burch
Viliam Lisý
Dustin Morrill
Nolan Bard
Trevor Davis
Kevin Waugh
Michael Bradley Johanson
Michael Bowling
BDL
672
988
0
06 Jan 2017
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