Matthew Motoki

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We formulate the problem of minimizing the operating cost of supplying residential hot water as a discrete-time finite-state Markov decision process. We apply state aggregation to reduce the effective size of the state space and utilize density estimation to obtain an algorithm that is robust to modeling changes in the cost function. We then use approximate(More)
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