Cover Image

WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jungel, Kai, Paccagnan, Dario, Parmentier, Axel, Schiffer, Maximilian
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control
by: Jungel, Kai, et al.
Published: (2023)

Combinatorial Optimization Augmented Machine Learning
by: Schiffer, Maximilian, et al.
Published: (2026)

Preference-aware compensation policies for crowdsourced on-demand services
by: Nouli, Georgina, et al.
Published: (2025)

Structured Reinforcement Learning for Combinatorial Decision-Making
by: Hoppe, Heiko, et al.
Published: (2025)

Optimization-Augmented Machine Learning for Vehicle Operations in Emergency Medical Services
by: Rautenstrauß, Maximiliane, et al.
Published: (2025)

Systematic Evaluation of Synthetic Data Augmentation for Multi-class NetFlow Traffic
by: Wolf, Maximilian, et al.
Published: (2024)

Symmetry Guarantees Statistic Recovery in Variational Inference
by: Marks, Daniel, et al.
Published: (2026)

DistrictNet: Decision-aware learning for geographical districting
by: Ahmed, Cheikh, et al.
Published: (2024)

Pick-to-Learn for Systems and Control: Data-driven Synthesis with State-of-the-art Safety Guarantees
by: Paccagnan, Dario, et al.
Published: (2025)

Synthetic Monitoring Environments for Reinforcement Learning
by: Pleiss, Leonard, et al.
Published: (2026)

Learning with Local Search MCMC Layers
by: Vivier-Ardisson, Germain, et al.
Published: (2025)

CF-OPT: Counterfactual Explanations for Structured Prediction
by: Vivier-Ardisson, Germain, et al.
Published: (2024)

Staggered Routing in Autonomous Mobility-on-Demand Systems
by: Coppola, Antonio, et al.
Published: (2024)

Target-Aligned Reinforcement Learning
by: Pleiss, Leonard S., et al.
Published: (2026)

Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment
by: Graf, Lukas, et al.
Published: (2021)

Neural Cluster First, Route Second: One-Shot Capacitated Vehicle Routing via Differentiable Optimal Transport
by: Chin, Samuel J. K., et al.
Published: (2026)

Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts
by: Enders, Tobias, et al.
Published: (2024)

Optimizing a Worldwide-Scale Shipper Transportation Planning in a Carmaker Inbound Supply Chain
by: Brichet, Mathis, et al.
Published: (2025)

Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs
by: Demelas, Francesco, et al.
Published: (2023)

Hessian Riemannian Flow For Multi-Population Wardrop Equilibrium
by: Bakaryan, Tigran, et al.
Published: (2025)

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning
by: Ma, Hui, et al.
Published: (2025)

GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction
by: Kong, Weiyang, et al.
Published: (2025)

TraffNet: Learning Causality of Traffic Generation for What-if Prediction
by: Xu, Ming, et al.
Published: (2023)

Reliability-Adjusted Prioritized Experience Replay
by: Pleiss, Leonard S., et al.
Published: (2025)

Data Augmentation for Traffic Classification
by: Wang, Chao, et al.
Published: (2024)

Differentiable Knapsack and Top-k Operators via Dynamic Programming
by: Vivier-Ardisson, Germain, et al.
Published: (2026)

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation
by: Orozco, Fermin, et al.
Published: (2024)

Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles
by: Forel, Alexandre, et al.
Published: (2022)

ST-RetNet: A Long-term Spatial-Temporal Traffic Flow Prediction Method
by: Long, Baichao, et al.
Published: (2024)

FlowDistill: Scalable Traffic Flow Prediction via Distillation from LLMs
by: Yu, Chenyang, et al.
Published: (2025)

Meta Dynamic Graph for Traffic Flow Prediction
by: Zou, Yiqing, et al.
Published: (2026)

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
by: Ji, Jiahao, et al.
Published: (2022)

Dynamic Trend Fusion Module for Traffic Flow Prediction
by: Chen, Jing, et al.
Published: (2025)

Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete Action Spaces
by: Hoppe, Heiko, et al.
Published: (2026)

Integrated Balanced and Staggered Routing in Autonomous Mobility-on-Demand Systems
by: Coppola, Antonio, et al.
Published: (2025)

Regularized Large Neighborhood Search
by: Vivier-Ardisson, Germain, et al.
Published: (2026)

Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
by: Hoppe, Heiko, et al.
Published: (2023)

Primal-dual algorithm for contextual stochastic combinatorial optimization
by: Bouvier, Louis, et al.
Published: (2025)

Cellular Traffic Prediction via Deep State Space Models with Attention Mechanism
by: Ma, Hui, et al.
Published: (2025)

Lipschitz-Based Robustness Certification for Recurrent Neural Networks via Convex Relaxation
by: Hamelbeck, Paul, et al.
Published: (2025)