Learning equilibrium play: A myopic approach

DOI10.1023/A:1008709129421zbMath0952.91002OpenAlexW1511738467MaRDI QIDQ1303782

Sjur Didrik Flåm

Publication date: 8 January 2001

Published in: Computational Optimization and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1008709129421

zbMATH Keywords

learningstochastic approximationNash equilibriumnoncooperative gamesprojected subgradient

Mathematics Subject Classification ID

Noncooperative games (91A10) Rationality and learning in game theory (91A26)

Related Items (6)

EQUILIBRIUM, EVOLUTIONARY STABILITY AND GRADIENT DYNAMICS ⋮ Interior point methods for equilibrium problems ⋮ Strategic behavior and partial cost sharing. ⋮ REPEATED PLAY AND NEWTON'S METHOD ⋮ Some scientific results of Yu. M. Ermoliev and his school in modern stochastic optimization theory ⋮ NEWTONIAN MECHANICS AND NASH PLAY

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