Bounded-parameter Markov decision process
Artificial Intelligence
Towards adjustable autonomy for the real world
Journal of Artificial Intelligence Research
Markov decision processes with multiple objectives
STACS'06 Proceedings of the 23rd Annual conference on Theoretical Aspects of Computer Science
SAVES: a sustainable multiagent application to conserve building energy considering occupants
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
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Limited availability of energy resources has motivated the need for developing efficient measures of conserving energy. Conserving energy in commercial buildings is an important goal since these buildings consume significant amount of energy, e.g., 46.2% of all building energy and 18.4% of total energy consumption in the US [1]. This demonstration focuses on a novel application to be deployed at Ralph & Goldy Lewis Hall (RGL) at the University of Southern California as a practical research testbed to optimize multiple competing objectives: i) energy use in the building; ii) occupants' comfort level; and iii) practical usage considerations.