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This book introduces multiagent planning under§uncertainty as formalized by decentralized partially observable Markov decision§processes (Dec-POMDPs). The intended audience is researchers and graduate§students working in the fields of artificial intelligence related to sequential§decision making: reinforcement learning, decision-theoretic planning for single§agents, classical multiagent planning, decentralized control, and operations§research.§