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

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

Date Created 2022-09-01 (2 years ago)

Commits 40 (last one about a year ago)

Stargazers 263 (2 this week)

Watchers 3 (0 this week)

Forks 58

License mit

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RepositoryStats indexes 595,856 repositories, of these Lei-Kun/End-to-end-DRL-for-FJSP is ranked #148,083 (75th percentile) for total stargazers, and #427,587 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #25,824/119,431.

Lei-Kun/End-to-end-DRL-for-FJSP is also tagged with popular topics, for these it's ranked: reinforcement-learning (#448/1337), graph-neural-networks (#123/592)

Other Information

Lei-Kun/End-to-end-DRL-for-FJSP has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 15 open issues and 4 closed issues.

All Topics

fjsp graph-neural-networks reinforcement-learning disjunctive-graph-for-fjsp

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40 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-12-22 @ 10:07am, id: 531343118 / R_kgDOH6unDg