Policy-based reinforcement learning for time series anomaly detection

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, pp. 1039192020.

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Abstract:

Time series anomaly detection has become a crucial and challenging task driven by the rapid increase of streaming data with the arrival of the Internet of Things. Existing methods are either domain-specific or require strong assumptions that cannot be met in realistic datasets. Reinforcement learning (RL), as an incremental self-learning ...More

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