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learning-to-optimize

Here are 15 public repositories matching this topic...

MetaEvo / MetaBox

MetaBox: Benchmarking Platform for Meta-Black-Box Optimization

deep-reinforcement-learning hyperparameter-optimization evolutionary-algorithms black-box-optimization protein-protein-docking learning-to-optimize real-parameter-optimization meta-black-box-optimization benchmark-platform

Updated May 2, 2025
Python

CIAM-Group / NCO_code

L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China

multiobjective-optimization computational-intelligence combinatorial-optimization neural-combinatorial-optimization learning-to-optimize ml4co rl4co machine-learning-for-combinatorial-optimization

Updated Jan 17, 2025
Python

RoyalSkye / Routing-MVMoE

[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"

vehicle-routing-problem combinatorial-optimization zero-shot-learning generalization neural-combinatorial-optimization mixture-of-experts learning-to-optimize foundation-models

Updated Aug 5, 2024
Python

RoyalSkye / Omni-VRP

[ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"

deep-reinforcement-learning vehicle-routing-problem travelling-salesman-problem generalization meta-learning learning-to-optimize

Updated Aug 23, 2023
Python

VITA-Group / L2O-Training-Techniques

[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

imitation-learning meta-learning curriculum-learning learning-to-learn training-tricks self-improving learning-to-optimize

Updated Dec 30, 2021
Python

sail-sg / optim4rl

Optim4RL is a Jax framework of learning to optimize for reinforcement learning.

reinforcement-learning optimization optimizer reinforcement-learning-algorithms optimization-algorithms meta-learning jax learning-to-learn optimizers meta-learning-algorithms learning-to-optimize meta-learning-algorithm

Updated Nov 27, 2024
Python

Bill-CJB / NHDE

deep-reinforcement-learning neural-combinatorial-optimization learning-to-optimize neural-multi-objective-combinatorial-optimization

Updated Oct 25, 2023
Python

Bill-CJB / EMNH

deep-reinforcement-learning neural-combinatorial-optimization learning-to-optimize neural-multi-objective-combinatorial-optimization

Updated Oct 25, 2023
Python

Shen-Lab / Bayesian-L2O

[ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen

bayesian-optimization learning-to-optimize

Updated Aug 19, 2022
Python

VITA-Group / L2PG

[ICML 2023] "Learning to Optimize Differentiable Games" by Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang

learning-to-optimize differentiable-games

Updated Aug 5, 2023
Python

VITA-Group / M-L2O

[ICLR 2023] "M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation" by Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang

generalization learning-to-optimize

Updated Feb 26, 2023
Python

VITA-Group / Scalable-L2O

[ECCV 2022] "Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models" by Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, and Zhangyang Wang

learning-to-optimize

Updated Nov 21, 2022
Python

VITA-Group / OptimizerAmalgamation

[ICLR 2022] "Optimizer Amalgamation" by Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang

optimization stability generalization knowledge-amalgamation learning-to-optimize

Updated Jan 25, 2022
Python

trxcc / Offline-RaM

Official implementation of ICLR'25 paper "Offline Model-Based Optimization by Learning to Rank"

black-box-optimization learning-to-optimize offline-optimization

Updated Mar 9, 2025
Python

Bill-CJB / WE

neural-combinatorial-optimization learning-to-optimize neural-multi-objective-combinatorial-optimization

Updated Apr 17, 2025
Python

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