Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams

Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams

This paper considers the problem of multiagent sequential decision making under uncertainty and incomplete knowledge of the state transition model. A distributed learning framework, where each agent learns an individual model and shares the results with the team, is proposed. The challenges associat...

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Detaylı Bibliyografya
Asıl Yazarlar: Ure, N. Kemal, Chowdhary, Girish, Chen, Yu Fan, How, Jonathan P., Vian, John
Diğer Yazarlar: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Springer Netherlands 2016
Online Erişim:http://hdl.handle.net/1721.1/103618
https://orcid.org/0000-0001-8576-1930
https://orcid.org/0000-0003-3756-3256

Internet

http://hdl.handle.net/1721.1/103618
https://orcid.org/0000-0001-8576-1930
https://orcid.org/0000-0003-3756-3256

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