Alert: Learning Trigger Functions for Early Classification of Time Series using Deep-RL
This paper introduces Alert, a Deep-RL framework that learns trigger functions from any state representation, and proposes Alert+, a simple yet effective variant that consistently outperforms traditional methods in balancing accuracy and delay within an imbalanced misclassification and exponential delay cost setting.
Aurélien Renault, A. Bondu, Antoine Cornuéjols et al.
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