Multi Agent Online Optimization(1st Edition)

Book details

Book Price $87.02 : This Monograph Provides An Overview Of Distributed Online Optimization In Multi-agent Systems. Online Optimization Approaches Planning And Decision Problems From A Robust Learning Perspective, Where One Learns Through Feedback From Sequentially Arriving Costs, Resembling A Game Between A Learner (agent) And The Environment. Recently, Multi-agent Systems Have Become Important In Diverse Areas Including Smart Power Grids, Communication Networks, Machine Learning, And Robotics, Where Agents Work With Decentralized Data, Costs, And Decisions To Collectively Minimize A System-wide Cost. In Such Settings, Agents Make Distributed Decisions And Collaborate With Neighboring Agents Through A Communication Network, Leading To Scalable Solutions That Often Perform As Well As Centralized Methods.The Monograph Offers A Unified Introduction, Starting With Fundamental Algorithms For Basic Problems, And Gradually Covering State-of-the-art Techniques For More Complex Settings. The Interplay Between Individual Agent Learning Rates, Network Structure, And Communication Complexity Is Highlighted In The Overall System Performance. See more