A Reinforcement Learning Scheme for Dynamic Energy Management in Embedded Systems

Abstract

Dynamic power management is a technique to reduce power consumption of electronic systems by selectively shutting down idle components. In this paper, an intelligent approach is presented based on reinforcement learning to predict the best policy amongst the existing DPM policies. Reinforcement learning is a computational approach to understanding and… (More)
DOI: 10.1142/S0218126605002817

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