yining043 / NeuOpt

This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", which has been accepted at NeurIPS 2023.

Date Created 2023-08-09 (about a year ago)

Commits 19 (last one 7 months ago)

Stargazers 41 (0 this week)

Watchers 1 (0 this week)

Forks 3

License mit

Ranking

RepositoryStats indexes 624,393 repositories, of these yining043/NeuOpt is ranked #534,801 (14th percentile) for total stargazers, and #551,381 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,869/18,725.

yining043/NeuOpt is also tagged with popular topics, for these it's ranked: reinforcement-learning (#1,233/1422), transformer (#931/1062), deep-reinforcement-learning (#347/377)

Other Information

Homepage URL: https://arxiv.org/abs/2310.18264

All Topics

tsp vrp k-opt transformer reward-shaping learning-to-optimize reinforcement-learning vehicle-routing-problem deep-reinforcement-learning neural-combinatorial-optimization

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

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The primary language is Jupyter Notebook but there's also others...

updated: 2025-02-20 @ 05:22pm, id: 676390572 / R_kgDOKFDmrA