Cover Image

Rethinking Positional Encoding for Neural Vehicle Routing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hua, Chuanbo, Berto, Federico, Hottung, Andre, Zepeda, Nayeli Gast, Ma, Yining, Ma, Zihan, Wong-Chung, Paula, Kwon, Changhyun, Wu, Cathy, Tierney, Kevin, Park, Jinkyoo
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RouteFinder: Towards Foundation Models for Vehicle Routing Problems
by: Berto, Federico, et al.
Published: (2024)

VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems
by: Hottung, André, et al.
Published: (2025)

CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
by: Hua, Chuanbo, et al.
Published: (2025)

USPR: Learning a Unified Solver for Profiled Routing
by: Hua, Chuanbo, et al.
Published: (2025)

Neural Deconstruction Search for Vehicle Routing Problems
by: Hottung, André, et al.
Published: (2025)

RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization
by: Son, Jiwoo, et al.
Published: (2025)

JudgeFlow: Agentic Workflow Optimization via Block Judge
by: Ma, Zihan, et al.
Published: (2026)

HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding
by: Tang, Huijie, et al.
Published: (2024)

Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems
by: Sobhanan, Abhay, et al.
Published: (2023)

TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
by: Zhao, Zhikai, et al.
Published: (2025)

EvoNav: Evolutionary Reward Function Design for Robot Navigation with Large Language Models
by: Zhao, Zhikai, et al.
Published: (2026)

TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution
by: Zhao, Zhikai, et al.
Published: (2025)

PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
by: Berto, Federico, et al.
Published: (2024)

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
by: Berto, Federico, et al.
Published: (2023)

PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization
by: Hottung, André, et al.
Published: (2024)

Learning to Segment for Vehicle Routing Problems
by: Ouyang, Wenbin, et al.
Published: (2025)

Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
by: Tang, Huijie, et al.
Published: (2024)

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
by: Ye, Haoran, et al.
Published: (2024)

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
by: Kim, Minsu, et al.
Published: (2023)

Test-Time Search in Neural Graph Coarsening Procedures for the Capacitated Vehicle Routing Problem
by: Sim, Yoonju, et al.
Published: (2025)

Neural Genetic Search in Discrete Spaces
by: Kim, Hyeonah, et al.
Published: (2025)

The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration
by: Lee, Jae Hyeok, et al.
Published: (2025)

Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation
by: Li, Jiachen, et al.
Published: (2024)

Compartir la mesa. Diseño centrado en personas para recursos museográficos educativos
by: Nayeli Zepeda Arias
Published: (2020)

Arc Routing Problems with Multiple Trucks and Drones: A Hybrid Genetic Algorithm
by: Sobhanan, Abhay, et al.
Published: (2025)

Neural Embedded Mixed-Integer Optimization for Location-Routing Problems
by: Kaleem, Waquar, et al.
Published: (2024)

Learning to Handle Complex Constraints for Vehicle Routing Problems
by: Bi, Jieyi, et al.
Published: (2024)

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
by: Zhou, Jianan, et al.
Published: (2024)

A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone
by: Mahmoudinazlou, Sasan, et al.
Published: (2023)

Quantum End-to-End Learning for Contextual Combinatorial Optimization
by: Lee, Jaehwan, et al.
Published: (2026)

Towards Efficient Constraint Handling in Neural Solvers for Routing Problems
by: Bi, Jieyi, et al.
Published: (2026)

SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
by: Goh, Yong Liang, et al.
Published: (2025)

Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
by: Li, Sirui, et al.
Published: (2025)

Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete
by: Li, Qian, et al.
Published: (2026)

Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context
by: Son, Jiwoo, et al.
Published: (2023)

BuildEvo: Designing Building Energy Consumption Forecasting Heuristics via LLM-driven Evolution
by: Lin, Subin, et al.
Published: (2025)

Physics-Informed Large Language Models for HVAC Anomaly Detection with Autonomous Rule Generation
by: Lin, Subin, et al.
Published: (2025)

RADAR: Learning to Route with Asymmetry-aware DistAnce Representations
by: Yi, Hang, et al.
Published: (2026)

Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
by: Huang, Ziwei, et al.
Published: (2025)

Cameras as Relative Positional Encoding
by: Li, Ruilong, et al.
Published: (2025)