Decentralized stochastic planning with anonymity in interactions

In this paper, we solve cooperative decentralized stochastic planning problems, where the interactions between agents (specified using transition and reward functions) are dependent on the number of agents (and not on the identity of the individual agents) involved in the interaction. A collision...

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Bibliographic Details
Main Authors: Varakantham, Pradeep, Adulyasak, Yossiri, Jaillet, Patrick
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Association for the Advancement of Artificial Intelligence (AAAI) 2015
Online Access:http://hdl.handle.net/1721.1/100438
https://orcid.org/0000-0002-8585-6566