Gymjsp

该数据集名为Gymjsp，是一个基于著名的OR-Library的公开基准，旨在为强化学习和动态作业车间调度（DJSP）研究社区提供一个标准化的现成设施。该调度环境能够通过使用随机种子和时间消耗的超参数来复现各种动态效果。其特色在于提供了一个与OpenAI Gym相似的接口，使得强化学习算法的实现更为简便。该数据集针对的任务是动态作业车间调度（DJSP）。

This dataset, named Gymjsp, is a public benchmark based on the renowned OR-Library, aiming to provide a standardized out-of-the-box facility for the research community focused on reinforcement learning and dynamic job shop scheduling (DJSP). This scheduling environment can reproduce various dynamic effects by using random seeds and time-consumption hyperparameters. It features an interface similar to OpenAI Gym's, which simplifies the implementation of reinforcement learning algorithms. The task targeted by this dataset is dynamic job shop scheduling (DJSP).

搜集汇总

背景与挑战

背景概述

Gymjsp是一个开源Python库，专注于作业车间调度问题的强化学习环境实现。它提供了与OpenAI Gym兼容的接口，并包含OR-Library中的作业车间调度实例，方便用户进行研究和实验。