Cover Image

Learning to Route Electric Trucks Under Operational Uncertainty

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Orfanoudakis, Stavros, Li, Ziyan, Yang, Ruixiao, Aristov, Nikolay, Vergara, Pedro P., Fan, Chuchu, Dugundji, Elenna
Format:	Preprint
Published:	2026
Subjects:	Systems and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimizing Electric Vehicles Charging using Large Language Models and Graph Neural Networks
by: Orfanoudakis, Stavros, et al.
Published: (2025)

Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks
by: Gao, Shuyi, et al.
Published: (2026)

GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
by: Orfanoudakis, Stavros, et al.
Published: (2025)

PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks
by: Lin, Nan, et al.
Published: (2023)

SAVGO: Learning State-Action Value Geometry with Cosine Similarity for Continuous Control
by: Orfanoudakis, Stavros, et al.
Published: (2026)

Physics-Informed Reinforcement Learning for Large-Scale EV Smart Charging Considering Distribution Network Voltage Constraints
by: Orfanoudakis, Stavros, et al.
Published: (2025)

Adaptive Informed Deep Neural Networks for Power Flow Analysis
by: Kaseb, Zeynab, et al.
Published: (2024)

A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction
by: Xia, Weijie, et al.
Published: (2024)

Community-to-Vehicle: Integrating Electric Vehicles into Energy Communities -- A Swiss Case Study
by: Li, Na, et al.
Published: (2026)

Scalable Surrogate Verification of Image-based Neural Network Control Systems using Composition and Unrolling
by: Cai, Feiyang, et al.
Published: (2024)

Route Recommendations for Traffic Management Under Learned Partial Driver Compliance
by: Bang, Heeseung, et al.
Published: (2025)

Transformer-based few-shot learning for modeling Electricity Consumption Profiles with minimal data across thousands of domains
by: Xia, Weijie, et al.
Published: (2024)

Dynamic Rolling Horizon Optimization for Network-Constrained V2X Value Stacking of Electric Vehicles Under Uncertainties
by: Jiang, Canchen, et al.
Published: (2025)

Co-Optimizing Distributed Energy Resources under Demand Charges and Bi-Directional Power Flow
by: Yang, Ruixiao, et al.
Published: (2025)

Joint Scheduling of DER under Demand Charges: Structure and Approximation
by: Yang, Ruixiao, et al.
Published: (2025)

A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive Control
by: Diaz-Londono, Cesar, et al.
Published: (2024)

Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks
by: Ojha, Ritesh, et al.
Published: (2023)

EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Models
by: Lin, Nan, et al.
Published: (2024)

Assessing Geographical and Seasonal Influences on Energy Efficiency of Electric Drayage Trucks
by: Shiledar, Ankur, et al.
Published: (2025)

Multi-Objective Reinforcement Learning for Tactical Decision Making for Trucks in Highway Traffic
by: Pathare, Deepthi, et al.
Published: (2026)

Uncertainty Modelling and Robust Observer Synthesis using the Koopman Operator
by: Dahdah, Steven, et al.
Published: (2024)

Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control
by: Zhang, Songyuan, et al.
Published: (2025)

RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution Networks
by: Hou, Shengren, et al.
Published: (2024)

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

SmartMeterFM: Unifying Smart Meter Data Generative Tasks Using Flow Matching Models
by: Lin, Nan, et al.
Published: (2026)

Smart Exploration in Reinforcement Learning using Bounded Uncertainty Models
by: van Hulst, J. S., et al.
Published: (2025)

Mining--Gym: A Configurable RL Benchmarking Environment for Truck Dispatch Scheduling
by: Banerjee, Chayan, et al.
Published: (2025)

MuFlex: A Scalable, Physics-based Platform for Multi-Building Flexibility Analysis and Coordination
by: Wu, Ziyan, et al.
Published: (2025)

Asymmetric Adaptation-based Real-time Fault Diagnosis Under Transitional Operating Conditions
by: Zhao, Hongshuo, et al.
Published: (2026)

Machine Learning and Deep Learning Models for Short Term Electricity Price Forecasting in Australia's National Electricity Market
by: Lu, Wei, et al.
Published: (2026)

Distributionally Robust Policy and Lyapunov-Certificate Learning
by: Long, Kehan, et al.
Published: (2024)

Distributed Charging Coordination for Electric Trucks under Limited Facilities and Travel Uncertainties
by: Bai, Ting, et al.
Published: (2024)

Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions
by: Long, Kehan, et al.
Published: (2025)

Generalized Information Gathering Under Dynamics Uncertainty
by: Palafox, Fernando, et al.
Published: (2026)

Nonparametric Sparse Online Learning of the Koopman Operator
by: Hou, Boya, et al.
Published: (2025)

ON-Traffic: An Operator Learning Framework for Online Traffic Flow Estimation and Uncertainty Quantification from Lagrangian Sensors
by: Rap, Jake, et al.
Published: (2025)

Operator Models for Continuous-Time Offline Reinforcement Learning
by: Hoischen, Nicolas, et al.
Published: (2025)

Learning Surrogate LPV State-Space Models with Uncertainty Quantification
by: Olucha, E. Javier, et al.
Published: (2026)

LUCID: Learning-Enabled Uncertainty-Aware Certification of Stochastic Dynamical Systems
by: Casablanca, Ernesto, et al.
Published: (2025)

Accelerating Reinforcement Learning for Wind Farm Control via Expert Demonstrations
by: Nilsen, Marcus Binder, et al.
Published: (2026)