ASP: Learn a Universal Neural Solver!

ASP: Learn a Universal Neural Solver!

1 March 2023

Stephen Marcus McAleer

Tianshu Yu

Papers citing "ASP: Learn a Universal Neural Solver!"

18 / 18 papers shown

Title
Preference Optimization for Combinatorial Optimization Problems Mingjun Pan Guanquan Lin You-Wei Luo Bin Zhu Zhien Dai Lijun Sun Chun Yuan 11 0 0 13 May 2025
Multi-Dimensional AGV Path Planning in 3D Warehouses Using Ant Colony Optimization and Advanced Neural Networks Bo Zhang Xiubo Liang Wei Song Y. Chen 28 0 0 30 Mar 2025
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling Haoyu Lei Kaiwen Zhou Y. Li Zhitang Chen Farzan Farnia DiffM 57 1 0 15 Feb 2025
Learning to Handle Complex Constraints for Vehicle Routing Problems Jieyi Bi Yining Ma Jianan Zhou Wen Song Zhiguang Cao Yaoxin Wu Jie Zhang 29 6 0 28 Oct 2024
Neural Solver Selection for Combinatorial Optimization Chengrui Gao Haopu Shang Ke Xue Chao Qian 23 0 0 13 Oct 2024
Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization Federico Berto Chuanbo Hua Laurin Luttmann Jiwoo Son Junyoung Park Kyuree Ahn Changhyun Kwon Lin Xie Jinkyoo Park 33 1 0 05 Sep 2024
A Survey on Self-play Methods in Reinforcement Learning Ruize Zhang Zelai Xu Chengdong Ma Chao Yu Weijuan Tu ... Deheng Ye Wenbo Ding Yaodong Yang Yu Wang Yu Wang SyDa SSL OnRL 44 7 0 02 Aug 2024
PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference Ye Li Chen Tang Yuan Meng Jiajun Fan Zenghao Chai Xinzhu Ma Zhi Wang Wenwu Zhu 29 1 0 06 Jul 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives Xuan Wu Di Wang Lijie Wen Yubin Xiao Chunguo Wu Yuesong Wu Chaoyu Yu D. Maskell You Zhou 60 4 0 01 Jun 2024
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts Jianan Zhou Zhiguang Cao Yaoxin Wu Wen Song Yining Ma Jie Zhang Chi Xu 46 17 0 02 May 2024
Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds Yanbiao Ma Licheng Jiao Fang Liu Lingling Li Wenping Ma Shuyuan Yang Xu Liu Puhua Chen 39 0 0 22 Apr 2024
Policy Space Response Oracles: A Survey Ariyan Bighashdel Yongzhao Wang Stephen Marcus McAleer Rahul Savani F. Oliehoek 23 6 0 04 Mar 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 29 0 0 23 Feb 2024
Large Language Models as Hyper-Heuristics for Combinatorial Optimization Haoran Ye Jiarui Wang Zhiguang Cao Federico Berto Chuanbo Hua Haeyeon Kim Jinkyoo Park Guojie Song 40 44 0 02 Feb 2024
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation Haoyang Liu Yufei Kuang Jie Wang Xijun Li Yongdong Zhang Feng Wu AAML 37 7 0 22 Oct 2023
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems Shiqing Liu Xueming Yan Yaochu Jin 37 8 0 10 Oct 2023
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 132 455 0 10 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,878 0 15 Sep 2016