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...
Main Authors: | , , |
---|---|
Other Authors: | |
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 |