8 results found Sort:

VITA-Group
Open-L2O VITA-Group
43
277
mit
7
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
lasso meta-learning neural-networks learning-to-learn convex-optimization learning-to-optimize nonconvex-optimization
Created 2021-01-03
49 commits to main branch, last one about a year ago
GMC-DRL
MetaBox GMC-DRL
12
104
bsd-3-clause
1
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/paper/2023/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datasets...
benchmark-platform learning-to-optimize black-box-optimization evolutionary-algorithms protein-protein-docking deep-reinforcement-learning hyperparameter-optimization meta-black-box-optimization real-parameter-optimization
Created 2023-03-26
428 commits to v2.0.0 branch, last one 7 days ago
CIAM-Group
NCO_code CIAM-Group
20
74
mit
0
L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
ml4co rl4co learning-to-optimize combinatorial-optimization computational-intelligence multiobjective-optimization neural-combinatorial-optimization machine-learning-for-combinatorial-optimization
Created 2023-09-04
134 commits to main branch, last one 3 months ago
RoyalSkye
Routing-MVMoE RoyalSkye
6
67
mit
2
[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
generalization foundation-models mixture-of-experts zero-shot-learning learning-to-optimize vehicle-routing-problem combinatorial-optimization neural-combinatorial-optimization
Created 2023-07-05
45 commits to main branch, last one 9 months ago
RoyalSkye
Omni-VRP RoyalSkye
5
49
mit
1
[ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
meta-learning generalization learning-to-optimize vehicle-routing-problem deep-reinforcement-learning travelling-salesman-problem
Created 2022-06-03
46 commits to main branch, last one about a year ago
yining043
NeuOpt yining043
5
46
mit
1
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.
tsp vrp k-opt transformer reward-shaping learning-to-optimize reinforcement-learning vehicle-routing-problem deep-reinforcement-learning neural-combinatorial-optimization
Created 2023-08-09
19 commits to main branch, last one 8 months ago
GMC-DRL
Awesome-MetaBBO GMC-DRL
2
39
unknown
2
A collection of MetaBBO papers and code sources
metabbo learning-to-optimize black-box-optimization evolutionary-computation
Created 2024-10-06
137 commits to main branch, last one about a month ago
sail-sg
optim4rl sail-sg
2
25
apache-2.0
5
Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
jax optimizer optimizers optimization meta-learning learning-to-learn learning-to-optimize reinforcement-learning meta-learning-algorithm optimization-algorithms meta-learning-algorithms reinforcement-learning-algorithms
Created 2023-02-06
7 commits to main branch, last one 4 months ago