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pro vyhledávání: '"Kalogiannis, Fivos"'
We study the problem of learning a Nash equilibrium (NE) in Markov games which is a cornerstone in multi-agent reinforcement learning (MARL). In particular, we focus on infinite-horizon adversarial team Markov games (ATMGs) in which agents that share
Externí odkaz:
http://arxiv.org/abs/2410.05673
We consider the problem of computing Nash equilibria in potential games where each player's strategy set is subject to private uncoupled constraints. This scenario is frequently encountered in real-world applications like road network congestion game
Externí odkaz:
http://arxiv.org/abs/2402.07797
Autor:
Kalogiannis, Fivos, Panageas, Ioannis
The works of (Daskalakis et al., 2009, 2022; Jin et al., 2022; Deng et al., 2023) indicate that computing Nash equilibria in multi-player Markov games is a computationally hard task. This fact raises the question of whether or not computational intra
Externí odkaz:
http://arxiv.org/abs/2305.14329
Autor:
Anagnostides, Ioannis, Kalogiannis, Fivos, Panageas, Ioannis, Vlatakis-Gkaragkounis, Emmanouil-Vasileios, McAleer, Stephen
Adversarial team games model multiplayer strategic interactions in which a team of identically-interested players is competing against an adversarial player in a zero-sum game. Such games capture many well-studied settings in game theory, such as con
Externí odkaz:
http://arxiv.org/abs/2301.02129
Autor:
Kalogiannis, Fivos, Anagnostides, Ioannis, Panageas, Ioannis, Vlatakis-Gkaragkounis, Emmanouil-Vasileios, Chatziafratis, Vaggos, Stavroulakis, Stelios
Computing Nash equilibrium policies is a central problem in multi-agent reinforcement learning that has received extensive attention both in theory and in practice. However, provable guarantees have been thus far either limited to fully competitive o
Externí odkaz:
http://arxiv.org/abs/2208.02204
Contemporary applications of machine learning in two-team e-sports and the superior expressivity of multi-agent generative adversarial networks raise important and overlooked theoretical questions regarding optimization in two-team games. Formally, t
Externí odkaz:
http://arxiv.org/abs/2111.04178