A myopic adjustment process for mean field games with finite state and action space

DOI10.1007/s00182-023-00866-zarXiv2008.13420OpenAlexW3082306865MaRDI QIDQ6146790

Berenice Anne Neumann

Publication date: 31 January 2024

Published in: International Journal of Game Theory (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2008.13420

zbMATH Keywords

learning in gamesmean field gamesfinite action spacefinite state space

Mathematics Subject Classification ID

Rationality and learning in game theory (91A26) Mean field games (aspects of game theory) (91A16)

Cites Work

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