Planning with Macro-Actions in Decentralized POMDPs

Decentralized partially observable Markov decision processes (Dec-POMDPs) are general models for decentralized decision making under uncertainty. However, they typically model a problem at a low level of granularity, where each agent's actions are primitive operations lasting exactly one time s...

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Bibliographic Details
Main Authors: Amato, Christopher, Konidaris, George D., Kaelbling, Leslie P.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Association for Computing Machinery (ACM) 2016
Online Access:http://hdl.handle.net/1721.1/100721
https://orcid.org/0000-0002-6786-7384
https://orcid.org/0000-0001-6054-7145
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