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Approximated multi-agent fitted Q iteration

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Dynamic stochastic electric vehicle routing with safe reinforcement learning

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Online allocation and pricing : constant regret via Bellman inequalities

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Dynamic multistage scheduling for patient-centered care plans

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Off-line approximate dynamic programming for the vehicle routing problem with stochastic customers and demands via decentralized decision-making

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A computational approach to sequential decision optimization in energy storage and trading

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Due to recent technical progress, battery energy storages are becoming a viable option in the power sector. Their optimal operational management focuses on load shift and shaving of price spikes. However, this requires optimally responding to electricity demand, intermittent generation, and...

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Approximate dynamic programming for an energy-efficient parallel machine scheduling problem

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Lookahead approximate dynamic programming for stochastic aircraft maintenance check scheduling optimization

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