A receding-horizon sequential greedy policy with a 1/2 optimality guarantee is proposed for multi-agent persistent monitoring with concave resetting rewards, augmented by a terminal nodal-importance term.
Multi-agents adaptive estimation and coverage control using gaussian regression,
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A sub-modular receding horizon solution for mobile multi-agent persistent monitoring
A receding-horizon sequential greedy policy with a 1/2 optimality guarantee is proposed for multi-agent persistent monitoring with concave resetting rewards, augmented by a terminal nodal-importance term.