Planning for decentralized control of multiple robots under uncertainty
This paper presents a probabilistic framework for synthesizing control policies for general multi-robot systems that is based on decentralized partially observable Markov decision processes (Dec-POMDPs). Dec-POMDPs are a general model of decision-making where a team of agents must cooperate to optim...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2015
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| Online Access: | http://hdl.handle.net/1721.1/100515 https://orcid.org/0000-0002-1729-6085 https://orcid.org/0000-0002-6786-7384 https://orcid.org/0000-0001-8576-1930 https://orcid.org/0000-0001-6054-7145 |