:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Ferraz, Arthur, Ahmed, Cheikh, Cappart, Quentin, Vidal, Thibaut
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Optimization and Control
Accesso online:	https://arxiv.org/abs/2402.06040
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

The XL Instances for the Capacitated Vehicle Routing Problem
di: Queiroga, Eduardo, et al.
Pubblicazione: (2026)

Combinatorial Optimization and Machine Learning for Dynamic Inventory Routing
di: Greif, Toni, et al.
Pubblicazione: (2024)

An Exact Framework for Solving the Space-Time Dependent TSP
di: Rudich, Isaac, et al.
Pubblicazione: (2023)

Contextual Stochastic Vehicle Routing with Time Windows
di: Serrano, Breno, et al.
Pubblicazione: (2024)

Optimization by Directional Attacks: Solving Problems with Neural Network Surrogates
di: Bouchet, Pierre-Yves, et al.
Pubblicazione: (2025)

Solving Two-Stage Stochastic Programs with Endogenous Uncertainty via Random Variable Transformation
di: Bazotte, Maria, et al.
Pubblicazione: (2024)

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

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

Approximation of Singular-Stopping Control Driven by Hawkes Processes via Rescaled MDPs
di: Agostino, Isabel, et al.
Pubblicazione: (2026)

Scenario Predict-then-Optimize for Data-Driven Online Inventory Routing
di: Jia, Menglei, et al.
Pubblicazione: (2024)

Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning
di: Brumali, Riccardo, et al.
Pubblicazione: (2025)

Single- vs. Dual-Policy Reinforcement Learning for Dynamic Bike Rebalancing
di: Liang, Jiaqi, et al.
Pubblicazione: (2024)

Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
di: Emine, Youssouf, et al.
Pubblicazione: (2024)

PACE: Prune-And-Compress Ensemble Models
di: Akkerman, Fabian, et al.
Pubblicazione: (2026)

Two-Stage Stochastic Capacity Expansion in Stable Matching under Truthful or Strategic Preference Uncertainty
di: Bazotte, Maria, et al.
Pubblicazione: (2025)

The Branch-and-Bound Tree Closure
di: Roland, Marius, et al.
Pubblicazione: (2025)

Route Optimization Over Scheduled Services For Large-Scale Package Delivery Networks
di: Ahmed, Mohammed Faisal, et al.
Pubblicazione: (2025)

Adaptive Partitioning for Chance-Constrained Problems with Finite Support
di: Roland, Marius, et al.
Pubblicazione: (2023)

Solving the Integrated Bin Allocation and Collection Routing Problem for Municipal Solid Waste: a Benders Decomposition Approach
di: Mahéo, Arthur, et al.
Pubblicazione: (2022)

State-dependent preconditioning for the inner-loop in Variational Data Assimilation using Machine Learning
di: Trappler, Victor, et al.
Pubblicazione: (2025)

Learning Market Making with Closing Auctions
di: Graf, Julius, et al.
Pubblicazione: (2026)

Sensor-Driven Predictive Vehicle Maintenance and Routing Problem with Time Windows
di: Kazemian, Iman, et al.
Pubblicazione: (2024)

A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
di: Sadana, Utsav, et al.
Pubblicazione: (2023)

Energy-Aware Aggregation of Input Data for the Optimisation of Heat Supply of Municipal Districts
di: Schönfeldt, Patrik, et al.
Pubblicazione: (2025)

Data-Driven Stochastic Distribution System Hardening Based on Bayesian Online Learning
di: Shi, Wenlong, et al.
Pubblicazione: (2025)

Delegated portfolio management with random default
di: Gennaro, Alberto, et al.
Pubblicazione: (2024)

Regulation or Competition:Major-Minor Optimal Liquidation across Dark and Lit Pools
di: Mastrolia, Thibaut, et al.
Pubblicazione: (2025)

Sensing Resource Allocation Against Data-Poisoning Attacks in Traffic Routing
di: Yu, Yue, et al.
Pubblicazione: (2024)

Distributed Nonlinear Model Predictive Control for District Heating Networks
di: Bettoni, Alessandro, et al.
Pubblicazione: (2026)

Optimal Impulse Control for Cyber Risk Management
di: Hillairet, Caroline, et al.
Pubblicazione: (2024)

An entropy penalized approach for stochastic control problems. Complete version
di: Bourdais, Thibaut, et al.
Pubblicazione: (2023)

An entropy penalized approach for stochastic optimization with marginal law constraints. Complete version
di: Bourdais, Thibaut, et al.
Pubblicazione: (2025)

Learning Large Neighborhood Search for Maritime Inventory Routing Optimization
di: Chen, Rui, et al.
Pubblicazione: (2025)

Exact Time-Varying Turnpikes for Dynamic Operation of District Heating Networks
di: Rose, Max, et al.
Pubblicazione: (2025)

Fast convergence to non-isolated minima: four equivalent conditions for $\mathrm{C}^2$ functions
di: Rebjock, Quentin, et al.
Pubblicazione: (2023)

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

Convex Data-Driven Contraction With Riemannian Metrics
di: Oliveira, Andreas, et al.
Pubblicazione: (2024)

A Bayesian Perspective on the Data-Driven LQR
di: Schwaller, Thierry, et al.
Pubblicazione: (2026)

Data-Driven Estimation of Structured Singular Values
di: Guerrero, Margarita A., et al.
Pubblicazione: (2025)