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

• Κύριος συγγραφέας: Tatarenko, Tatiana (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Θέματα: Mathematics.; Computer science > Mathematics.; System theory.; Mathematical optimization.; Probabilities.; Statistics.; Game theory.; Systems Theory, Control.; Game Theory.; Math Applications in Computer Science.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Optimization.; Probability Theory and Stochastic Processes.

This book presents new efficient methods for optimization in realistic large-scale, multi-agent systems. These methods do not require the agents to have the full information about the system, but instead allow them to make their local decisions based only on the local information, possibly obtained...