Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and ma

This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs). The inten

In this thesis decision-making problems are formalized using a stochastic discrete-time model called decentralized partially observable Markov decision process

This book addresses two of the most difficult and computationally intractable classes of problems: discrete resource constrained scheduling, and discrete-contin