By Frans A. Oliehoek,Christopher Amato
This publication introduces multiagent making plans lower than uncertainty as formalized by way of decentralized partly observable Markov selection procedures (Dec-POMDPs). The meant viewers is researchers and graduate scholars operating within the fields of synthetic intelligence concerning sequential selection making: reinforcement studying, decision-theoretic making plans for unmarried brokers, classical multiagent making plans, decentralized regulate, and operations research.
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Extra resources for A Concise Introduction to Decentralized POMDPs (SpringerBriefs in Intelligent Systems)
A Concise Introduction to Decentralized POMDPs (SpringerBriefs in Intelligent Systems) by Frans A. Oliehoek,Christopher Amato