A Decentralized Partially Observable Decision Model for Recognizing the Multiagent Goal in Simulation Systems
نویسندگان
چکیده
منابع مشابه
Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments
Decentralized partially observable Markov decision processes (Dec-POMDPs) provide a general framework for multiagent sequential decision-making under uncertainty. Although Dec-POMDPs are typically intractable to solve for real-world problems, recent research on macro-actions (i.e., temporally-extended actions) has significantly increased the size of problems that can be solved. However, current...
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ژورنال
عنوان ژورنال: Discrete Dynamics in Nature and Society
سال: 2016
ISSN: 1026-0226,1607-887X
DOI: 10.1155/2016/5323121