Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions
The focus of this paper is on solving multi-robot planning problems in continuous spaces with partial observability. Decentralized Partially Observable Markov Decision Processes (Dec-POMDPs) are general models for multi-robot coordination problems, but representing and solving Dec-POMDPs is often in...
| Main Authors: | , , , |
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| Format: | Article |
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Institute of Electrical and Electronics Engineers (IEEE)
2018
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| Online Access: | http://hdl.handle.net/1721.1/116391 https://orcid.org/0000-0003-0903-0137 https://orcid.org/0000-0002-6786-7384 https://orcid.org/0000-0001-8576-1930 |