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Adaptive search with path-constrained mobile sensors using multi-arm bandits

Abraham P. Vinod et al.
arXiv CS · Papers
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deep-learningmachine-learningneural-networks
We study a constrained sequential decision problem for detecting regions of interest from noisy online measurements collected by a team of energy-constrained mobile sensors. The sensor motion is restricted to a precomputed set of feasible paths that satisfy mobility constraints, limited available en
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