2 papers
cs.LG2024
Reinforcement Learning as an Improvement Heuristic for Real-World Production Scheduling
Arthur Müller, Lukas Vollenkemper
The integration of Reinforcement Learning (RL) with heuristic methods is an emerging trend for solving optimization problems, which leverages RL's ability to learn from the data ge…
cs.AI2024
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…