9 citations · 21 across the 14 of their papers we have counts for
3 papers · 1 filter
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem
Constantin Waubert de Puiseau, Fabian Wolz, Merlin Montag +3
The job shop scheduling problem (JSSP) and its solution algorithms have been of enduring interest in both academia and industry for decades. In recent years, machine learning (ML)…
Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling
Constantin Waubert de Puiseau, Christian Dörpelkus, Jannik Peters +2
Learned construction heuristics for scheduling problems have become increasingly competitive with established solvers and heuristics in recent years. In particular, significant imp…
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning
Constantin Waubert de Puiseau, Hasan Tercan, Tobias Meisen
Solving job shop scheduling problems (JSSPs) with a fixed strategy, such as a priority dispatching rule, may yield satisfactory results for several problem instances but, neverthel…