Markov \alpha-Potential Games

We propose a new framework of Markov <inline-formula><tex-math notation="LaTeX">\alpha</tex-math></inline-formula>-potential games to study Markov games. We show that any Markov game with finite-state and finite-action is a Markov <inline-formula><tex-math...

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Vydané v:	IEEE transactions on automatic control s. 1 - 16
Hlavní autori:	Guo, Xin, Li, Xinyu, Maheshwari, Chinmay, Sastry, Shankar, Wu, Manxi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 2025
Predmet:	Approximation algorithms Equilibrium approximation algorithms Games Heuristic algorithms Linear programming Markov games Markov potential games Measurement Multi-agent reinforcement learning Nash equilibrium Postal services Regret analysis Topology Training Upper bound
ISSN:	0018-9286, 1558-2523
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