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• W2419009634 abstract "This paper presents a fast approximate multi-agent decision theoretic planning method extended from the well-known Markov Decision Process (MDP). Our objective is to plan motions for a team of homogeneous micro air vehicles (MAVs) toward a set of goals, such that each MAV at any state at any moment follows an action policy toward a unique goal, while considering action uncertainty. We pursue an efficient formulation by first considering a deterministic abstraction of the stochastic system based on approximate initial paths. These deterministic and decoupled sub-problems are converted to the stochastic domain and improved by individual agents or a subset of agents. The resulting decoupled formulation requires processing of a partial state space and enables online operation given applications with emerging tasks." @default.
• W2419009634 created "2016-06-24" @default.
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• W2419009634 date "2016-05-01" @default.
• W2419009634 modified "2023-10-14" @default.
• W2419009634 title "An MDP-based approximation method for goal constrained multi-MAV planning under action uncertainty" @default.
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• W2419009634 doi "https://doi.org/10.1109/icra.2016.7487115" @default.
• W2419009634 hasPublicationYear "2016" @default.
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