Modeling and Planning with Macro-Actions in Decentralized POMDPs

Modeling and Planning with Macro-Actions in Decentralized POMDPs

© 2019 AI Access Foundation. All rights reserved. Decentralized partially observable Markov decision processes (Dec-POMDPs) are general models for decentralized multi-agent decision making under uncertainty. However, they typically model a problem at a low level of granularity, where each agent’s ac...

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Bibliographic Details
Main Authors: Amato, Christopher, Konidaris, George, Kaelbling, Leslie P, How, Jonathan P
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: AI Access Foundation 2021
Online Access:https://hdl.handle.net/1721.1/132314

Internet

https://hdl.handle.net/1721.1/132314

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