Image de couverture de livre

Large-scale Online Ridesharing: The Effect of Assignment Optimality on System Performance

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Fiedler, David, Čertický, Michal, Alonso-Mora, Javier, Pěchouček, Michal, Čáp, Michal
Format:	Preprint
Publié:	2023
Sujets:	Optimization and Control Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Optimal Chaining of Vehicle Plans with Time Windows
par: Fiedler, David, et autres
Publié: (2024)

Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness
par: Bouška, Michal, et autres
Publié: (2024)

Optimal Labeler Assignment and Sampling for Active Learning in the Presence of Imperfect Labels
par: Ahadi, Pouya, et autres
Publié: (2025)

Multi-Robot Multi-Queue Control via Exhaustive Assignment Actor-Critic Learning
par: Merati, Mohammad, et autres
Publié: (2026)

Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches
par: Dereziński, Michał
Publié: (2022)

Performative Policy Gradient: Optimality in Performative Reinforcement Learning
par: Basu, Debabrota, et autres
Publié: (2025)

Offline Supervised Learning V.S. Online Direct Policy Optimization: A Comparative Study and A Unified Training Paradigm for Neural Network-Based Optimal Feedback Control
par: Zhao, Yue, et autres
Publié: (2022)

Adaptive Online Non-stochastic Control
par: Mhaisen, Naram, et autres
Publié: (2023)

Optimal Transportation by Orthogonal Coupling Dynamics
par: Sadr, Mohsen, et autres
Publié: (2024)

Compact Optimality Verification for Optimization Proxies
par: Chen, Wenbo, et autres
Publié: (2024)

Stochastic Optimization of Inventory at Large-scale Supply Chains
par: Jin, Zhaoyang Larry, et autres
Publié: (2025)

Benchmarking Reinforcement Learning via Stochastic Converse Optimality: Generating Systems with Known Optimal Policies
par: Ibrahim, Sinan, et autres
Publié: (2026)

Stability-Preserving Online Adaptation of Neural Closed-loop Maps
par: Saccani, Danilo, et autres
Publié: (2026)

Omni-scale Learning-based Sequential Decision Framework for Order Fulfillment of Tote-handling Robotic Systems
par: Liu, Jiaxin, et autres
Publié: (2026)

A Method to Improve the Performance of Reinforcement Learning Based on the Y Operator for a Class of Stochastic Differential Equation-Based Child-Mother Systems
par: Yin, Cheng, et autres
Publié: (2023)

From Optimization to Prediction: Transformer-Based Path-Flow Estimation to the Traffic Assignment Problem
par: Ameli, Mostafa, et autres
Publié: (2025)

Convergence of projected stochastic approximation algorithm
par: Borowski, Michał, et autres
Publié: (2025)

Integrated Offline and Online Learning to Solve a Large Class of Scheduling Problems
par: Liu, Anbang, et autres
Publié: (2025)

Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure
par: Dereziński, Michał, et autres
Publié: (2025)

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
par: Kamboj, Ankur, et autres
Publié: (2026)

Online Submodular Maximization via Online Convex Optimization
par: Salem, Tareq Si, et autres
Publié: (2023)

Beyond Manual Planning: Seating Allocation for Large Organizations
par: Ipsen, Anton, et autres
Publié: (2026)

Exploiting Edited Large Language Models as General Scientific Optimizers
par: Lv, Qitan, et autres
Publié: (2025)

Safe Large-Scale Robust Nonlinear MPC in Milliseconds via Reachability-Constrained System Level Synthesis on the GPU
par: Fang, Jeffrey, et autres
Publié: (2026)

Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches
par: Ye, Tinghan, et autres
Publié: (2026)

A Metaheuristic Algorithm for Large Maximum Weight Independent Set Problems
par: Dong, Yuanyuan, et autres
Publié: (2022)

Temporal Robustness in Discrete Time Linear Dynamical Systems
par: Metya, Nilava, et autres
Publié: (2025)

A Discrete-Time Switching System Analysis of Q-learning
par: Lee, Donghwan, et autres
Publié: (2021)

Feasible Pairings for Decentralized Integral Controllability of Non-Square Systems
par: Tong, Yuhao, et autres
Publié: (2026)

LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs
par: Hou, Zhinan, et autres
Publié: (2026)

Integrating Column Generation and Large Neighborhood Search for Bus Driver Scheduling with Complex Break Constraints
par: Kletzander, Lucas, et autres
Publié: (2025)

On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP
par: Wang, Wei, et autres
Publié: (2024)

ARO: A New Lens On Matrix Optimization For Large Models
par: Gong, Wenbo, et autres
Publié: (2026)

The Principle of Proportional Duty: A Knowledge-Duty Framework for Ethical Equilibrium in Human and Artificial Systems
par: Prescher, Timothy
Publié: (2025)

Approximate Information States for Worst-Case Control and Learning in Uncertain Systems
par: Dave, Aditya, et autres
Publié: (2023)

Large Language Model-Assisted Planning of Electric Vehicle Charging Infrastructure with Real-World Case Study
par: Zheng, Xinda, et autres
Publié: (2025)

Optimal Transport for Probabilistic Circuits
par: Ciotinga, Adrian, et autres
Publié: (2024)

Optimal Transport for Machine Learners
par: Peyré, Gabriel
Publié: (2025)

From MIDI to Rich Tablatures: an Automatic Generative System incorporating Lead Guitarists' Fingering and Stylistic choices
par: Bontempi, Pierluigi, et autres
Publié: (2024)

Unifying Controller Design for Stabilizing Nonlinear Systems with Norm-Bounded Control Inputs
par: Li, Ming, et autres
Publié: (2024)