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In stochastic lot sizing subject to dynamic and random demand, the minimization of operational costs is not the only conceivable objective. Minimizing the tardiness in customer demand satisfaction is no less important. Furthermore, the decision maker is interested in production plan stability....
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The literature on learning in unknown environments emphasises reinforcing on actions which produce positive results …
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The advent of reinforcement learning (RL) in financial markets is driven by several advantages inherent to this field … one integrated step, thereby closely aligning the machine learning problem with the objectives of the investor. At the … supervised learning methods, the RL research community has made considerable advances in the finance domain. The present paper …
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