22 citations · 25 across the 3 of their papers we have counts for
3 papers
Demystifying Reinforcement Learning in Production Scheduling via Explainable AI
Daniel Fischer, Hannah M. Hüsener, Felix Grumbach +3
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, th…
Optimizing Sales Forecasts through Automated Integration of Market Indicators
Lina Döring, Felix Grumbach, Pascal Reusch
Recognizing that traditional forecasting models often rely solely on historical demand, this work investigates the potential of data-driven techniques to automatically select and i…
A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling
Felix Grumbach, Nour Eldin Alaa Badr, Pascal Reusch +1
The following interdisciplinary article presents a memetic algorithm with applying deep reinforcement learning (DRL) for solving practically oriented dual resource constrained flex…