Quantum Reinforcement Learning with Transformers for the Capacitated Vehicle Routing Problem
Fuente:
arXiv
Saved in:
| Main Author: | Andrés, Eva |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Solving a Real-World Package Delivery Routing Problem Using Quantum Annealers
by: Osaba, Eneko, et al.
Published: (2024)
by: Osaba, Eneko, et al.
Published: (2024)
An Evolutionary Algorithm For the Vehicle Routing Problem with Drones with Interceptions
by: Pambo, Carlos, et al.
Published: (2024)
by: Pambo, Carlos, et al.
Published: (2024)
Planning of Truck Platooning for Road-Network Capacitated Vehicle Routing Problem
by: Hao, Yilang, et al.
Published: (2024)
by: Hao, Yilang, et al.
Published: (2024)
HGT-Scheduler: Deep Reinforcement Learning for the Job Shop Scheduling Problem via Heterogeneous Graph Transformers
by: Soykan, Bulent
Published: (2026)
by: Soykan, Bulent
Published: (2026)
Solving Drone Routing Problems with Quantum Computing: A Hybrid Approach Combining Quantum Annealing and Gate-Based Paradigms
by: Osaba, Eneko, et al.
Published: (2025)
by: Osaba, Eneko, et al.
Published: (2025)
Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem
by: Holliday, James, et al.
Published: (2024)
by: Holliday, James, et al.
Published: (2024)
Rethinking Agentic Reinforcement Learning In Large Language Models
by: Cui, Fangming, et al.
Published: (2026)
by: Cui, Fangming, et al.
Published: (2026)
Exploring Utility in a Real-World Warehouse Optimization Problem: Formulation Based on Quantum Annealers and Preliminary Results
by: Osaba, Eneko, et al.
Published: (2024)
by: Osaba, Eneko, et al.
Published: (2024)
A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System
by: Salek, M Sabbir, et al.
Published: (2024)
by: Salek, M Sabbir, et al.
Published: (2024)
Enhancing Software Quality Assurance with an Adaptive Differential Evolution based Quantum Variational Autoencoder-Transformer Model
by: Barma, Seshu Babu, et al.
Published: (2025)
by: Barma, Seshu Babu, et al.
Published: (2025)
Graph-Enhanced Deep Reinforcement Learning for Multi-Objective Unrelated Parallel Machine Scheduling
by: Soykan, Bulent, et al.
Published: (2026)
by: Soykan, Bulent, et al.
Published: (2026)
Objective Decoupling in Social Reinforcement Learning: Recovering Ground Truth from Sycophantic Majorities
by: Ghasemi, Majid, et al.
Published: (2026)
by: Ghasemi, Majid, et al.
Published: (2026)
Universal Quantum Transformer
by: Chung, Sungyong, et al.
Published: (2026)
by: Chung, Sungyong, et al.
Published: (2026)
Towards Intelligent Transportation with Pedestrians and Vehicles In-the-Loop: A Surveillance Video-Assisted Federated Digital Twin Framework
by: Li, Xiaolong, et al.
Published: (2025)
by: Li, Xiaolong, et al.
Published: (2025)
Steiner Traveling Salesman Problem with Quantum Annealing
by: Ciacco, Alessia, et al.
Published: (2025)
by: Ciacco, Alessia, et al.
Published: (2025)
Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles
by: Lu, Qiujing, et al.
Published: (2024)
by: Lu, Qiujing, et al.
Published: (2024)
Quantum Annealing for Staff Scheduling in Educational Environments
by: Ciacco, Alessia, et al.
Published: (2025)
by: Ciacco, Alessia, et al.
Published: (2025)
QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems
by: Osaba, Eneko, et al.
Published: (2024)
by: Osaba, Eneko, et al.
Published: (2024)
Learn to Solve Vehicle Routing Problems ASAP: A Neural Optimization Approach for Time-Constrained Vehicle Routing Problems with Finite Vehicle Fleet
by: Deineko, Elija, et al.
Published: (2024)
by: Deineko, Elija, et al.
Published: (2024)
Variational Quantum Rainbow Deep Q-Network for Optimizing Resource Allocation Problem
by: Nguyen, Truong Thanh Hung, et al.
Published: (2025)
by: Nguyen, Truong Thanh Hung, et al.
Published: (2025)
Optimizing Package Delivery with Quantum Annealers: Addressing Time-Windows and Simultaneous Pickup and Delivery
by: Osaba, Eneko, et al.
Published: (2025)
by: Osaba, Eneko, et al.
Published: (2025)
Addressing the Minor-Embedding Problem in Quantum Annealing and Evaluating State-of-the-Art Algorithm Performance
by: Gomez-Tejedor, Aitor, et al.
Published: (2025)
by: Gomez-Tejedor, Aitor, et al.
Published: (2025)
Transformer-Based Neural Quantum Digital Twins for Many-Body Quantum Simulation and Optimal Annealing Schedule Design
by: Lu, Jianlong, et al.
Published: (2025)
by: Lu, Jianlong, et al.
Published: (2025)
Analog Alchemy: Neural Computation with In-Memory Inference, Learning and Routing
by: Demirag, Yigit
Published: (2024)
by: Demirag, Yigit
Published: (2024)
SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models
by: Zhou, Zhiyuan, et al.
Published: (2024)
by: Zhou, Zhiyuan, et al.
Published: (2024)
Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach
by: Romero, Sebastián V., et al.
Published: (2023)
by: Romero, Sebastián V., et al.
Published: (2023)
Advanced Quantum Annealing Approach to Vehicle Routing Problems with Time Windows
by: Holliday, James B., et al.
Published: (2025)
by: Holliday, James B., et al.
Published: (2025)
An Advanced Hybrid Quantum Tabu Search Approach to Vehicle Routing Problems
by: Holliday, James B., et al.
Published: (2025)
by: Holliday, James B., et al.
Published: (2025)
Auditing an Automatic Grading Model with deep Reinforcement Learning
by: Condor, Aubrey, et al.
Published: (2024)
by: Condor, Aubrey, et al.
Published: (2024)
The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles
by: Zhang, Hanwen, et al.
Published: (2024)
by: Zhang, Hanwen, et al.
Published: (2024)
Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response
by: Dunsin, Dipo, et al.
Published: (2024)
by: Dunsin, Dipo, et al.
Published: (2024)
A Quantum States Preparation Method Based on Difference-Driven Reinforcement Learning
by: Liu, Wenjie, et al.
Published: (2023)
by: Liu, Wenjie, et al.
Published: (2023)
Symbolic-AI-Fusion Deep Learning (SAIF-DL): Encoding Knowledge into Training with Answer Set Programming Loss Penalties by a Novel Loss Function Approach
by: Machot, Fadi Al, et al.
Published: (2024)
by: Machot, Fadi Al, et al.
Published: (2024)
Accurate AI-Driven Emergency Vehicle Location Tracking in Healthcare ITS Digital Twin
by: Al-Shareeda, Sarah, et al.
Published: (2025)
by: Al-Shareeda, Sarah, et al.
Published: (2025)
Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication
by: Teng, Lei, et al.
Published: (2025)
by: Teng, Lei, et al.
Published: (2025)
Coordinating Ride-Pooling with Public Transit using Reward-Guided Conservative Q-Learning: An Offline Training and Online Fine-Tuning Reinforcement Learning Framework
by: Hu, Yulong, et al.
Published: (2025)
by: Hu, Yulong, et al.
Published: (2025)
Quantum-Assisted Automatic Path-Planning for Robotic Quality Inspection in Industry 4.0
by: Osaba, Eneko, et al.
Published: (2025)
by: Osaba, Eneko, et al.
Published: (2025)
Quantum Machine Learning in Precision Medicine and Drug Discovery -- A Game Changer for Tailored Treatments?
by: Bertl, Markus, et al.
Published: (2025)
by: Bertl, Markus, et al.
Published: (2025)
One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms
by: Zhao, Zijian, et al.
Published: (2025)
by: Zhao, Zijian, et al.
Published: (2025)
RouteMark: A Fingerprint for Intellectual Property Attribution in Routing-based Model Merging
by: He, Xin, et al.
Published: (2025)
by: He, Xin, et al.
Published: (2025)
Similar Items
-
Solving a Real-World Package Delivery Routing Problem Using Quantum Annealers
by: Osaba, Eneko, et al.
Published: (2024) -
An Evolutionary Algorithm For the Vehicle Routing Problem with Drones with Interceptions
by: Pambo, Carlos, et al.
Published: (2024) -
Planning of Truck Platooning for Road-Network Capacitated Vehicle Routing Problem
by: Hao, Yilang, et al.
Published: (2024) -
HGT-Scheduler: Deep Reinforcement Learning for the Job Shop Scheduling Problem via Heterogeneous Graph Transformers
by: Soykan, Bulent
Published: (2026) -
Solving Drone Routing Problems with Quantum Computing: A Hybrid Approach Combining Quantum Annealing and Gate-Based Paradigms
by: Osaba, Eneko, et al.
Published: (2025)