Scalable accelerated decentralized multi-robot policy search in continuous observation spaces

Scalable accelerated decentralized multi-robot policy search in continuous observation spaces

This paper presents the first ever approach for solving continuous-observation Decentralized Partially Observable Markov Decision Processes (Dec-POMDPs) and their semi-Markovian counterparts, Dec-POSMDPs. This contribution is especially important in robotics, where a vast number of sensors provide c...

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Bibliographic Details
Main Authors: Amato, Christopher, Liu, Miao, Vian, John, Omidshafiei, Shayegan, Everett, Michael F, How, Jonathan P
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Published: Institute of Electrical and Electronics Engineers (IEEE) 2018
Online Access:http://hdl.handle.net/1721.1/114736
https://orcid.org/0000-0003-0903-0137
https://orcid.org/0000-0001-9377-6745
https://orcid.org/0000-0001-8576-1930

Internet

http://hdl.handle.net/1721.1/114736
https://orcid.org/0000-0003-0903-0137
https://orcid.org/0000-0001-9377-6745
https://orcid.org/0000-0001-8576-1930

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