Pointer Networks

Latest papers

11 papers2 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

From Comparison to Selection: Enhancing Cross-Scale Generalization of Pointer Networks Trained with Reinforcement Learning for Capacitated Vehicle Routing Problem
Oct 20, 2026Sofiene Lassoued, Devara Tertia, Stefan Lier +1Pointer Networks Combinatorial Optimization
South Westphalia University of Applied Sciences, Automation Technology and Learning Systems Luebecker Ring 2, Soest, 59494, North Rhine-Westphalia, Germany · South Westphalia University of Applied Sciences, Logistik und Supply Chain Management Lindenstr.53, Meschede, 59872, North Rhine-Westphalia, Germany
Causal Edit Serialization
Oct 16, 2026Louis RobinsonPointer Networks Language Model Editing
Independent Researcher
Hierarchical Possession-Aware Graph Pointer Network for Pass Receiver Selection
Sep 4, 2026Jingyi Wang, Da Li, Kaixin Wang +1Pointer Networks Graph Neural Networks
Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, Beijing, China · Beijing Key Laboratory of Interdisciplinary Intelligent Technologies in Sports Medicine and Engineering, Beijing University of Technology, Beijing, China
PLATO: Pointer Learner for Agent and Task Openness
Jul 27, 2026Alireza Saleh Abadi, Leen-Kiat Soh, Daniel Alan Redder +2Pointer Networks Multi-Agent Systems
School of Computing University of Nebraska-Lincoln · School of Computing University of Georgia · Oberlin College
Pointer-Augmented Autoregressive Generation of Patent Claims with Joint Topology and Content Decoding
Jul 27, 2026Yongmin Yoo, Zhangkai Wu, Longbing CaoPointer Networks Autoregressive Generation
Frontier AI Research Centre, Macquarie University · School of Computing, FSE, Macquarie University
Pointer-CAD v2: Plan-Then-Construct CAD Generation with Dimension-Aware Parametric Precision
Jun 28, 2026Dacheng Qi, Chenyu Wang, Jingwei Xu +2Pointer Networks Parametric CAD Modeling
The University of Hong Kong, Hong Kong SAR · Shenzhen Loop Area Institute, Shenzhen, China · TranscEngram, Shenzhen, China +2
Rethinking the Pointer Loss in Table Structure Recognition: Geometry-Aware Pointer Loss for Spatial Locality
Jun 17, 2026Hong-Jun Choi, Jongho Lee, Jaeyoung KimPointer Networks Table Structure Recognition
Teamreboott Inc., South Korea
Critic-Free Deep Reinforcement Learning for Maritime Coverage Path Planning on Irregular Hexagonal Grids
Mar 30, 2026Carlos S. Sepúlveda, Gonzalo A. RuzPointer Networks Coverage Path Planning
Facultad de Ingeniería y Ciencias, Universidad Adolfo Ibáñez, Av. Diagonal las Torres 2640, Santiago, Chile · Dirección de Programas, Investigación y Desarrollo, Armada de Chile, General del Canto 398, Valparaíso, Chile · Millennium Nucleus for Social Data Science (SODAS), Santiago, Chile +1
MeshTailor: Cutting Seams via Generative Mesh Traversal
Mar 28, 2026Xueqi Ma, Xingguang Yan, Congyue Zhang +1Pointer Networks 3D Mesh Generation
Shenzhen University · Simon Fraser University
Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on the Traveling Salesman Problem
Mar 26, 2026Hironori Ohigashi, Shinichiro HamadaPointer Networks Neural Combinatorial Optimization
Panasonic Connect Co., Ltd., Japan
Pointer-CAD: Unifying B-Rep and Command Sequences via Pointer-based Edges & Faces Selection
Mar 4, 2026Dacheng Qi, Chenyu Wang, Jingwei Xu +6Pointer Networks Boundary Representation Modeling
Transcengram · Beihang University · The University of Hong Kong +4

Oct 20, 2026J/K move · Enter open · S save

From Comparison to Selection: Enhancing Cross-Scale Generalization of Pointer Networks Trained with Reinforcement Learning for Capacitated Vehicle Routing Problem

Sofiene Lassoued, Devara Tertia, Stefan Lier, Andreas Schwung

South Westphalia University of Applied Sciences, Automation Technology and Learning Systems Luebecker Ring 2, Soest, 59494, North Rhine-Westphalia, Germany · South Westphalia University of Applied Sciences, Logistik und Supply Chain Management Lindenstr.53, Meschede, 59872, North Rhine-Westphalia, Germany

Pointer Networks Combinatorial Optimization RL for Combinatorial Optimization Vehicle Routing Graph Pooling Adaptive Model Routing

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Vehicle routing in delivery and logistics remains challenging as the number of clients varies. Classical approaches based on mixed-integer programming and heuristics can scale poorly or require problem-specific design, motivating learning-based alternatives. Reinforcement learning is particularly promising, provided a single policy can generalise across problem sizes without retraining. Although attention-based Pointer Networks are inherently size-agnostic, their solution quality degrades under both upscaling and downscaling. Using the Capacitated Vehicle Routing Problem (CVRP) as a controlled proxy, we investigate this degradation and identify three contributing factors: shifts in node density, attention dispersion, and dilution of the mean-pooled graph context. We systematically compare architecture-wide, encoder-side, and decoder-side modifications to address these limitations and propose a learned, permutation-invariant graph-context aggregation mechanism, implemented as a weighted average and as Set2Set. Results reveal distinct requirements for transfer in each direction: entropy-based attention scaling reduces the CVRP20-to-CVRP100 performance gap by 1.41 percentage points, while the proposed aggregation methods achieve the largest improvement on the more challenging CVRP100-to-CVRP20 transfer, approximately 0.9 percentage points. Exploiting this complementarity, we introduce an approach selector that chooses the best model for each training-target size pair. The selector reduces cost relative to the reference model across all nine seen train-test pairs and eight of nine pairs involving unseen sizes (CVRP35, CVRP75, and CVRP200), achieving improvements of up to 3.2%.