A deep Q-network that mixes causal statistics and a causality-weighted entropy term is proposed for placing sensors in partially observable anomaly detection.
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Causality-informed Anomaly Detection in Partially Observable Sensor Networks: Moving beyond Correlations
A deep Q-network that mixes causal statistics and a causality-weighted entropy term is proposed for placing sensors in partially observable anomaly detection.