Comfort-aware Cognitive Buildings Leveraging Deep Reinforcement Learning

F. Cicirelli, A. Guerrieri, C. Mastroianni, Fabio Palopoli, G. Spezzano, Andrea Vinci
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Abstract

This paper presents a novel approach for the management of buildings by leveraging cognitive technologies. The proposed approach exploits the Deep Reinforcement Learning paradigm to learn from both a physical and a simulated environment so as to optimize people comfort and energy consumption.
利用深度强化学习的舒适认知建筑
本文提出了一种利用认知技术进行建筑管理的新方法。提出的方法利用深度强化学习范式从物理和模拟环境中学习,从而优化人们的舒适度和能源消耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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