# Lei-Kun/End-to-end-DRL-for-FJSP

<https://repo.masters-masters.com/en/repos/Lei-Kun/End-to-end-DRL-for-FJSP>

[Home](https://repo.masters-masters.com/en) › [Lei-Kun](https://repo.masters-masters.com/en/owners/Lei-Kun) › [End-to-end-DRL-for-FJSP](https://repo.masters-masters.com/en/repos/Lei-Kun/End-to-end-DRL-for-FJSP)

Lei-Kun/End-to-end-DRL-for-FJSP has 404 stars on GitHub. Its RepoMasters card: Alpha tier. This is the official code of the publised paper 'A Multi-action…

| Field | Value |
| --- | --- |
| Owner | [Lei-Kun](https://repo.masters-masters.com/en/owners/Lei-Kun) |
| Stars | 404 |
| Forks | 86 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | fjsp, graph-neural-networks, reinforcement-learning, disjunctive-graph-for-fjsp |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Lei-Kun/End-to-end-DRL-for-FJSP](https://github.com/Lei-Kun/End-to-end-DRL-for-FJSP) |

## Repository

This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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