Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems

Introduction and Research Motivation.- Backgrounds and Formulation of Contributions.- Logit Dynamics in Potential Games with Memoryless Players.- Stochastic Methods in Distributed Optimization and Game-Theoretic Learning.- Conclusion.- Appendix.

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• Optimização
• Probabilidade e Estatística
• Cibernética e teoria dos sistemas
• Teoria dos jogos
• Teoria matemática da computação
• Estocástica

distributed optimization;game-theoretic approach to optimization;learning algorithms;consensus-based algorithms;potential games;game theory;multi-agent optimization;game-theoretic learning;stochastic methods