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Learning in Complex Dynamic Systems : with Applications to Perpetual Flight, Energy Management, Distributed Decision Making, and Social Networks
This dissertation addresses learning in complex dynamic systems with applications to perpetual flight, energy management, collaborative decision making, and social networks. By increasing the size and complexity of network systems, decentralized optimization schemes or machine learning algorithms are desired for scaling up ...