Co-occurring keywords · papers mentioning both
Papers
Learning Collaborative Policies to Solve NP-hard Routing Problems
NeurIPS 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
NeurIPS 2021
Matrix encoding networks for neural combinatorial optimization
NeurIPS 2021
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
NeurIPS 2021
An Interactive Regret-Based Genetic Algorithm for Solving Multi-Objective Combinatorial Optimization Problems
AAAI 2020
Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization
AAAI 2020
Differentiation of Blackbox Combinatorial Solvers
ICLR 2020
Fast and Accurate Non-Projective Dependency Tree Linearization
ACL 2020
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning
ACML 2020
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies
ALT 2020
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
NeurIPS 2020
Attention, Learn to Solve Routing Problems!
ICLR 2019
How to Tame Your Anticipatory Algorithm
IJCAI 2019
Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP
AAAI 2019
Anytime Focal Search with Applications
IJCAI 2018
Optimal Solution of the Generalized Dubins Interval Problem
RSS 2018
An Improved Approximation Algorithm for the Subpath Planning Problem and Its Generalization
IJCAI 2017
Learning Combinatorial Optimization Algorithms over Graphs
NeurIPS 2017
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning
NeurIPS 2014
On the Dubins Traveling Salesperson Problems: novel approximation algorithms
RSS 2006
Rearrangement Clustering: Pitfalls, Remedies, and Applications
JMLR 2006