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A Reinforcement Learning Approach to Setting Multi-Objective Goals for Energy Demand Management.

, , and . IJATS, 1 (2): 55-70 (2009)

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A Simulator for Self-Adaptive Energy Demand Management., , , and . SASO, page 64-73. IEEE Computer Society, (2008)Predicting Cluster Formation in Decentralized Sensor Grids., and . KES (3), volume 4253 of Lecture Notes in Computer Science, page 324-332. Springer, (2006)Clustering Distributed Energy Resources for Large-Scale Demand Management., , , and . SASO, page 97-108. IEEE Computer Society, (2007)Adaptive Control of Distributed Energy Management: A Comparative Study., , , and . SASO, page 84-93. IEEE Computer Society, (2008)Decentralized Multi-Agent Clustering in Scale-free Sensor Networks., , , and . Computational Intelligence: A Compendium, volume 115 of Studies in Computational Intelligence, Springer, (2008)Symbiotic Sensor Networks in Complex Underwater Terrains: A Simulation Framework., , , , and . KES (3), volume 4253 of Lecture Notes in Computer Science, page 315-323. Springer, (2006)A Reinforcement Learning Approach to Setting Multi-Objective Goals for Energy Demand Management., , and . IJATS, 1 (2): 55-70 (2009)Complex cells decrease errors for the Müller-Lyer illusion in a model of the visual ventral stream., , and . Front. Comput. Neurosci., (2014)Homeotaxis: Coordination with Persistent Time-Loops., , and . SAB, volume 5040 of Lecture Notes in Computer Science, page 403-414. Springer, (2008)