Jun 4, 2020 · Artificial Intelligence

Can Deep Reinforcement Learning Revolutionize Time-Series Data Compression?

This article reviews the challenges of compressing massive time‑series data, surveys existing methods, and introduces a novel two‑stage deep reinforcement learning framework (AMMMO) that adaptively selects compression modes, demonstrating significant compression ratio improvements and high throughput on large‑scale IoT and server workloads.

adaptive algorithmsdata storagedeep reinforcement learning

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Can Deep Reinforcement Learning Revolutionize Time-Series Data Compression?