9 citations · 9 across the 3 of their papers we have counts for
3 papers
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)…
Emergent Language: A Survey and Taxonomy
Jannik Peters, Constantin Waubert de Puiseau, Hasan Tercan +4
The field of emergent language represents a novel area of research within the domain of artificial intelligence, particularly within the context of multi-agent reinforcement learni…
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…