DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems

8 October 2022

Papers citing "DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems"

7 / 57 papers shown

Title
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization Nathan Grinsztajn Daniel Furelos-Blanco Shikha Surana Clément Bonnet Thomas D. Barrett 52 28 0 07 Oct 2022
What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization Maximilian Böther Otto Kißig M. Taraz S. Cohen Karen Seidel Tobias Friedrich AI4CE 65 46 0 25 Jan 2022
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer Yining Ma Jingwen Li Zhiguang Cao Wen Song Le Zhang Zhenghua Chen Jing Tang 75 129 0 06 Oct 2021
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 109 243 0 23 Dec 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang Wen Song Zhiguang Cao Jie M. Zhang Puay Siew Tan Chi Xu 58 299 0 23 Oct 2020
On Learning Paradigms for the Travelling Salesman Problem Chaitanya K. Joshi T. Laurent Xavier Bresson 73 33 0 16 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 252 11,677 0 09 Mar 2017