# wrqccc/FJSP-DRL

<https://repo.masters-masters.com/en/repos/wrqccc/FJSP-DRL>

[Home](https://repo.masters-masters.com/en) › [wrqccc](https://repo.masters-masters.com/en/owners/wrqccc) › [FJSP-DRL](https://repo.masters-masters.com/en/repos/wrqccc/FJSP-DRL)

wrqccc/FJSP-DRL has 201 stars on GitHub. Its RepoMasters card: Prototype tier. This repository is the official implementation of the paper “Flexible Job Shop…

| Field | Value |
| --- | --- |
| Owner | [wrqccc](https://repo.masters-masters.com/en/owners/wrqccc) |
| Stars | 201 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | deep-reinforcement-learning, flexible-job-shop-scheduling |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [wrqccc/FJSP-DRL](https://github.com/wrqccc/FJSP-DRL) |

## Repository

This repository is the official implementation of the paper “Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning”. IEEE Transactions on Neural Networks and Learning Systems, 2023.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.