Towards the Intelligent Home: Using Reinforcement-Learning for Optimal Heating Control

  • We propose a reinforcement learning approach to heating control in home automation, that can acquire a set of rules enabling an agent to heat a room to the desired temperature at a defined time while conserving as much energy as possible. Experimental results are presented that show the feasibility of our method.

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Metadaten
Author:A. Zenger, Jochen SchmidtORCiD, M. Krödel
Parent Title (English):Advances in Artificial Intelligence, Proceedings of the 36th Annual Conference on AI, volume 8077 of Lecture Notes in Artificial Intelligence
Publisher:Springer
Document Type:Conference Proceeding
Language:English
Publication Year:2013
Tag:Approximate dynamic program; Heating control; Home Automation; Reward Function; Target Temperature
faculties / departments:Fakultät für Informatik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke

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