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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Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид:	Ure, N. Kemal, Chowdhary, Girish, Chen, Yu Fan, How, Jonathan P., Vian, John
Бусад зохиолчид:	Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Формат:	Өгүүллэг
Хэл сонгох:	English
Хэвлэсэн:	Springer Netherlands 2016
Онлайн хандалт:	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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