Asymmetric Nash Seeking via Best Response Maps: Global Linear Convergence and Robustness to Inexact Reaction Models
Asymmetric Nash Seeking via Best Response Maps: Global Linear Convergence and Robustness to Inexact Reaction Models explores A method for finding Nash equilibria in multi-agent systems without full knowledge of all players' objectives.. Commercial viability score: 3/10 in Game Theory.
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