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7 search results found

Open L2o ⭐ 186

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)

Optim4rl ⭐ 17

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

L2o Training Techniques ⭐ 14

[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

Omni Vrp ⭐ 10

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

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.

Bayesian L2o ⭐ 7

[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

Related Searches

Python Learning To Optimize (4)

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