A non-myopic approach based on reinforcement learning for multiple moving targets search

Abstract

Myopic information-based approaches maximizing information gain for single one observation opportunity are effective to search for multiple moving targets in ocean surveillance by space-based sensors. A non-myopic approach based on reinforcement learning is developed in order to maximize information gain for the long term. Reinforcement learning adjusts… (More)

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