A Concise Introduction to Decentralized POMDPs

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. 

• ISBN: 978-3-319-28927-4
• Editorial: Springer
• Encuadernacion: Rústica
• Fecha Publicación: 11/06/2016
• Nº Volúmenes: 1
• Idioma: Inglés