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

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...

Full description

Bibliographic Details
Main Author: Tatarenko, Tatiana (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Subjects:
Online Access:Full Text via HEAL-Link

Similar Items