Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...
—When deploying collaborative applications such as Instant Messaging in ubiquitous computing environments significant enhancements can be afforded by offering additional context ...
Karl Quinn, Austin Kenny, Kevin Feeney, David Lewi...
Decentralized partially observable Markov decision processes (DEC-POMDPs) form a general framework for planning for groups of cooperating agents that inhabit a stochastic and part...
Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos A....
Abstract— We consider the problem of Decentralized Simultaneous Localization And Mapping (DSLAM) for pedestrians in the context of Urban Search And Rescue (USAR). In this context...
— This paper considers the problem of coordinating multiple vehicles with kinodynamic constraints that operate in the same partially-known environment. The vehicles are able to c...
Kostas E. Bekris, Konstantinos I. Tsianos, Lydia E...