Výsledky vyhledávání - "Reusch, Pascal"

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Demystifying Reinforcement Learning in Production Scheduling via Explainable AI

Autor: Fischer, Daniel, Hüsener, Hannah M., Grumbach, Felix, Vollenkemper, Lukas, Müller, Arthur, Reusch, Pascal

Deep Reinforcement Learning (DRL) is a frequently employed technique to solve scheduling problems. Although DRL agents ace at delivering viable results in short computing times, their reasoning remains opaque. We conduct a case study where we systema

Externí odkaz: http://arxiv.org/abs/2408.09841

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Optimizing Sales Forecasts through Automated Integration of Market Indicators

Autor: Döring, Lina, Grumbach, Felix, Reusch, Pascal

Recognizing that traditional forecasting models often rely solely on historical demand, this work investigates the potential of data-driven techniques to automatically select and integrate market indicators for improving customer demand predictions.

Externí odkaz: http://arxiv.org/abs/2406.07564

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A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling

Autor: Grumbach, Felix, Badr, Nour Eldin Alaa, Reusch, Pascal, Trojahn, Sebastian

The following interdisciplinary article presents a memetic algorithm with applying deep reinforcement learning (DRL) for solving practically oriented dual resource constrained flexible job shop scheduling problems (DRC-FJSSP). From research projects

Externí odkaz: http://arxiv.org/abs/2212.10936

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