Experiment Data for Size-Agnostic Job-Shop Scheduling Using Transformer-based Reinforcement Learning

Zenodo (CERN European Organization for Nuclear Research)

Abstract

This dataset contains the raw experimental data associated with the paper Size-Agnostic Job-Shop Scheduling Using Transformer-based Reinforcement Learning. The data consist of Weights & Biases (W&B) experiment logs, including training and validation metrics, evaluation results, hyperparameter configurations, model metadata, and runtime information for all experiments reported in the manuscript.

Authors 2

1. Zibo Meng

   Nanyang Technological University

   Affiliation as printed

   Nanyang Technological University

2. Alexander Nasuta Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University