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Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer?

, , , and . IJCNN, page 1-8. IEEE, (2019)

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Design of an automatic demand-side management system based on evolutionary algorithms., , , and . SAC, page 525-530. ACM, (2014)Urban Intelligence With Deep Edges., and . IEEE Access, (2020)CityWatch: exploiting sensor data to manage cities better., , , , , , , , and . Trans. Emerg. Telecommun. Technol., 25 (1): 64-80 (2014)An aspect-oriented, model-driven approach to functional hardware verification., and . J. Syst. Archit., 58 (5): 195-208 (2012)A formalized, taxonomy-driven approach to cross-layer application adaptation., , , , and . ACM Trans. Auton. Adapt. Syst., 7 (1): 7:1-7:30 (2012)Decentralised Multi-Agent Reinforcement Learning for Dynamic and Uncertain Environments., , , , and . CoRR, (2014)Model Driven Engineering of Cross-Layer Monitoring and Adaptation., , , , and . MODELSWARD, page 331-340. SciTePress, (2013)Message Stability and Reliable Broadcasts in Mobile Ad-Hoc Networks., , , and . ADHOC-NOW, volume 3738 of Lecture Notes in Computer Science, page 297-310. Springer, (2005)A dynamic forecasting method for small scale residential electrical demand., , , , and . IJCNN, page 3767-3774. IEEE, (2014)Probabilistic Discovery of Semantically Diverse Content in MANETs., , , and . IEEE Trans. Mob. Comput., 8 (4): 544-557 (2009)