An asynchronous distributed and scalable generalized Nash equilibrium seeking algorithm for strongly monotone games.
Carlo CenedeseGiuseppe BelgioiosoSergio GrammaticoMing CaoPublished in: Eur. J. Control (2021)
Keyphrases
- nash equilibrium
- fictitious play
- learning algorithm
- game theory
- game theoretic
- regret minimization
- optimal solution
- computational complexity
- worst case
- cooperative
- multi agent systems
- search space
- nash equilibria
- convergence rate
- stackelberg game
- variational inequalities
- incomplete information
- dynamic programming
- np hard
- multi agent
- objective function