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Multi-agent Online Optimization (Foundations and Trends® in Artificial Intelligence)

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£78.00 £72.97 £74.07 £75.17 £76.26 £77.36 £78.46 02 September 2025 02 December 2025 04 March 2026 03 June 2026 03 September 2026
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Description

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.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
07 January 2025
Listed Since
13 January 2025

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