June 7, 2024, 4:43 a.m. | Jiawei Ge, Yuanhao Wang, Wenzhe Li, Chi Jin

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.04201v1 Announce Type: new
Abstract: Multiplayer games, when the number of players exceeds two, present unique challenges that fundamentally distinguish them from the extensively studied two-player zero-sum games. These challenges arise from the non-uniqueness of equilibria and the risk of agents performing highly suboptimally when adopting equilibrium strategies. While a line of recent works developed learning systems successfully achieving human-level or even superhuman performance in popular multiplayer games such as Mahjong, Poker, and Diplomacy, two critical questions remain unaddressed: (1) …

abstract agents arxiv challenges cs.lg cs.ma equilibria equilibrium games line math.oc multiplayer risk stat.ml strategies sum superhuman superhuman ai them type unique while

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