Cover Image

The Restaurant Meal Delivery Problem with Ghost Kitchens

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Neria, Gal, Hildebrandt, Florentin D, Tzur, Michal, Ulmer, Marlin W
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning State-Dependent Policy Parametrizations for Dynamic Technician Routing with Rework
by: Stein, Jonas, et al.
Published: (2024)

Shaping Decision Models for Stochastic Dynamic Optimization Problems via Reinforcement Learning
by: Florentin D. Hildebrandt, et al.
Published: (2026)

Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the Oven
by: Hildebrandt, Niclas, et al.
Published: (2021)

Cloud Kitchen: Using Planning-based Composite AI to Optimize Food Delivery Processes
by: Švancár, Slavomír, et al.
Published: (2024)

A Short-Term Predict-Then-Cluster Framework for Meal Delivery Services
by: Cheng, Jingyi, et al.
Published: (2025)

What does a system modify when it modifies itself?
by: Koch, Florentin
Published: (2026)

From indicators to biology: the calibration problem in artificial consciousness
by: Koch, Florentin
Published: (2026)

StepCountJITAI: simulation environment for RL with application to physical activity adaptive intervention
by: Karine, Karine, et al.
Published: (2024)

Combining LLM decision and RL action selection to improve RL policy for adaptive interventions
by: Karine, Karine, et al.
Published: (2025)

On Uncertainty In Natural Language Processing
by: Ulmer, Dennis
Published: (2024)

Real-Time Integrated Dispatching and Idle Fleet Steering with Deep Reinforcement Learning for A Meal Delivery Platform
by: Cheng, Jingyi, et al.
Published: (2025)

Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series
by: Shukla, Satya Narayan, et al.
Published: (2021)

Recursivism: An Artistic Paradigm for Self-Transforming Art in the Age of AI
by: Koch, Florentin
Published: (2026)

Consumer Preferences for Meal Delivery: The Offsetting and Complementary Effects of Virtual Restaurants
by: Dan Wang, et al.
Published: (2025)

Enhancing Adaptive Behavioral Interventions with LLM Inference from Participant-Described States
by: Karine, Karine, et al.
Published: (2025)

Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications
by: Fujita, Takaaki, et al.
Published: (2026)

A Cost Function Approximation Based Large Neighborhood Search for Dynamic Medical Courier Services
by: Jarmo Haferkamp, et al.
Published: (2025)

The Kitchen Loop: User-Spec-Driven Development for a Self-Evolving Codebase
by: Roy, Yannick
Published: (2026)

AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment
by: Ivanova, Anastasiia, et al.
Published: (2025)

BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings
by: Karine, Karine, et al.
Published: (2024)

DynGhost: Temporally-Modelled Transformer for Dynamic Ghost Imaging with Quantum Detectors
by: Palladino, Vittorio, et al.
Published: (2026)

A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data
by: Ulmer, Markus, et al.
Published: (2023)

H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction
by: Marlin, Robert, et al.
Published: (2025)

Translating Dietary Standards into Healthy Meals with Minimal Substitutions
by: Chan, Trevor, et al.
Published: (2026)

Generative Ghosts: Anticipating Benefits and Risks of AI Afterlives
by: Morris, Meredith Ringel, et al.
Published: (2024)

The Ghost in the Grammar: Methodological Anthropomorphism in AI Safety Evaluations
by: Costa, Mariana Lins
Published: (2026)

MessyKitchens: Contact-rich object-level 3D scene reconstruction
by: Ansari, Junaid Ahmed, et al.
Published: (2026)

Shared Doubt: Zero-shot Cross-Lingual Confidence Estimation for Language Models
by: Kyriakou, Athina, et al.
Published: (2026)

Conquering Ghosts: Relation Learning for Information Reliability Representation and End-to-End Robust Navigation
by: Jin, Kefan, et al.
Published: (2022)

Handbook of Rough Set Extensions and Uncertainty Models
by: Fujita, Takaaki, et al.
Published: (2026)

Privacy Preserving Charge Location Prediction for Electric Vehicles
by: Marlin, Robert, et al.
Published: (2025)

Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing
by: Ulmer, Dennis, et al.
Published: (2025)

Ghost in the Transformer: Detecting Model Reuse with Invariant Spectral Signatures
by: Wang, Suqing, et al.
Published: (2025)

The Recipe Matters More Than the Kitchen:Mathematical Foundations of the AI Weather Prediction Pipeline
by: Garg, Piyush, et al.
Published: (2026)

Ghost Policies: A New Paradigm for Understanding and Learning from Failure in Deep Reinforcement Learning
by: Olaz, Xabier
Published: (2025)

GhostUI: Unveiling Hidden Interactions in Mobile UI
by: Kweon, Minkyu, et al.
Published: (2026)

A Generalization of the Shortest Path Problem to Graphs with Multiple Edge-Cost Estimates
by: Weiss, Eyal, et al.
Published: (2022)

A Dynamic Survey of Soft Set Theory and Its Extensions
by: Fujita, Takaaki, et al.
Published: (2026)

Exploring User Acceptance Of Portable Intelligent Personal Assistants: A Hybrid Approach Using PLS-SEM And fsQCA
by: Mvondo, Gustave Florentin Nkoulou, et al.
Published: (2024)

More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam Search
by: Dalal, Gal, et al.
Published: (2026)