Cover Image

Quantum-Efficient Reinforcement Learning Solutions for Last-Mile On-Demand Delivery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Moosavi, Farzan, Farooq, Bilal
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Artificial Intelligence Machine Learning Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Coalition Game for On-demand Multi-modal 3D Automated Delivery System
by: Moosavi, Farzan, et al.
Published: (2024)

Enhanced Reinforcement Learning-based Process Synthesis via Quantum Computing
by: Braniff, Austin, et al.
Published: (2026)

A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Model
by: Ambainis, Andris, et al.
Published: (2025)

Sphereabout: A Spherical Intersection Design for Networked Urban Air Mobility
by: Moosavi, Farzan, et al.
Published: (2025)

Stochastic Security as a Performance Metric for Quantum-enhanced Generative AI
by: Crum, Noah A., et al.
Published: (2023)

QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning
by: Luo, Di, et al.
Published: (2022)

Towards identifying possible fault-tolerant advantage of quantum linear system algorithms in terms of space, time and energy
by: Tu, Yue, et al.
Published: (2025)

AI2STOW: End-to-End Deep Reinforcement Learning to Construct Master Stowage Plans under Demand Uncertainty
by: Van Twiller, Jaike, et al.
Published: (2025)

Learning AC Power Flow Solutions using a Data-Dependent Variational Quantum Circuit
by: Le, Thinh Viet, et al.
Published: (2025)

No Transfers Required: Integrating Last Mile with Public Transit Using Opti-Mile
by: Altaf, Raashid, et al.
Published: (2023)

R2L: Reliable Reinforcement Learning: Guaranteed Return & Reliable Policies in Reinforcement Learning
by: Farhi, Nadir
Published: (2025)

Agentic Transformers Provably Learn to Search via Reinforcement Learning
by: Yang, Tong, et al.
Published: (2026)

A Branch-and-Price Algorithm for Fast and Equitable Last-Mile Relief Aid Distribution
by: Mostajabdaveh, Mahdi, et al.
Published: (2025)

Contextual Bilevel Reinforcement Learning for Incentive Alignment
by: Thoma, Vinzenz, et al.
Published: (2024)

Deep Reinforcement Learning for Traveling Purchaser Problems
by: Yuan, Haofeng, et al.
Published: (2024)

Performative Policy Gradient: Optimality in Performative Reinforcement Learning
by: Basu, Debabrota, et al.
Published: (2025)

Adaptive Primal-Dual Method for Safe Reinforcement Learning
by: Chen, Weiqin, et al.
Published: (2024)

Reinforcement Learning for Multi-Truck Vehicle Routing Problems
by: Levin, Joshua, et al.
Published: (2022)

Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning
by: Adde, Nihal Acharya, et al.
Published: (2024)

Deterministic Policy Gradient for Reinforcement Learning with Continuous Time and State
by: Cheng, Ziheng, et al.
Published: (2025)

Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates
by: Mana, Kyle, et al.
Published: (2023)

Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
by: Goh, Yong Liang, et al.
Published: (2022)

Faster Reinforcement Learning by Freezing Slow States
by: Wang, Yijia, et al.
Published: (2023)

Reinforcement Learning under Latent Dynamics: Toward Statistical and Algorithmic Modularity
by: Amortila, Philip, et al.
Published: (2024)

Dynamic Order Fulfillment in Last-Mile Drone Delivery under Demand Uncertainty
by: Shi, Linxuan, et al.
Published: (2022)

Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning
by: Mitra, Aritra, et al.
Published: (2023)

Deep Reinforcement Learning for Solving the Fleet Size and Mix Vehicle Routing Problem
by: Wan, Pengfu, et al.
Published: (2025)

Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets
by: Ma, Shaocong, et al.
Published: (2025)

Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
by: Xiao, Minheng, et al.
Published: (2024)

Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
by: Gao, Minbo, et al.
Published: (2023)

Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
by: Faulkner, Stefan, et al.
Published: (2026)

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning
by: Ding, Jianglin, et al.
Published: (2025)

Closing the Loop: Coordinating Inventory and Recommendation via Deep Reinforcement Learning on Multiple Timescales
by: Jiang, Jinyang, et al.
Published: (2025)

DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty
by: Cui, Mingxuan, et al.
Published: (2025)

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
by: Zhao, Hanyang, et al.
Published: (2025)

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL)
by: Adde, Nihal Acharya, et al.
Published: (2025)

Solving Truly Massive Budgeted Monotonic POMDPs with Oracle-Guided Meta-Reinforcement Learning
by: Vora, Manav, et al.
Published: (2024)

Explicit and data-Efficient Encoding via Gradient Flow
by: Flouris, Kyriakos, et al.
Published: (2024)

Online Learning Quantum States with the Logarithmic Loss via VB-FTRL
by: Tseng, Wei-Fu, et al.
Published: (2023)

CORL: Reinforcement Learning of MILP Policies Solved via Branch and Bound
by: Anand, Akhil S, et al.
Published: (2025)