Imagen de Portada

An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yue, Xinlang, Liu, Yiran, Shi, Fangzhou, Luo, Sihong, Zhong, Chen, Lu, Min, Xu, Zhe
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Subsidy Strategies
por: Shi, Fangzhou, et al.
Publicado: (2025)

Timing the Match: A Deep Reinforcement Learning Approach for Ride-Hailing and Ride-Pooling Services
por: Bao, Yiman, et al.
Publicado: (2025)

On-Demand Video Dispatch Networks: A Scalable End-to-End Learning Approach
por: Yang, Damao, et al.
Publicado: (2018)

A Queueing Model of Dynamic Pricing and Dispatch Control for Ride-Hailing Systems Incorporating Travel Times
por: Alwan, Amir Anastasios, et al.
Publicado: (2023)

End-to-End Learning of Correlated Operating Reserve Requirements in Security-Constrained Economic Dispatch
por: Shen, Owen, et al.
Publicado: (2026)

A Simulation Framework for Ride-Hailing with Electric Vehicles
por: Zhang, Chen, et al.
Publicado: (2024)

Long-term Fairness in Ride-Hailing Platform
por: Kang, Yufan, et al.
Publicado: (2024)

No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing
por: Maddux, Anna, et al.
Publicado: (2025)

Enhancing Ride-Hailing Forecasting at DiDi with Multi-View Geospatial Representation Learning from the Web
por: Hao, Xixuan, et al.
Publicado: (2026)

A Progressive Visual-Logic-Aligned Framework for Ride-Hailing Adjudication
por: Wu, Weiming, et al.
Publicado: (2026)

Semi-Markov Reinforcement Learning for City-Scale EV Ride-Hailing with Feasibility-Guaranteed Actions
por: Nguyen, An, et al.
Publicado: (2026)

Understanding the Spatial Variation of Integrated Use of Ride‐Hailing Services With the Metro
por: Mingyang Du, et al.
Publicado: (2024)

The Ride‐Hailing and Pricing Strategy Decision With the Application of Autonomous Vehicles
por: Bin Li, et al.
Publicado: (2025)

A Markovian Traffic Equilibrium Model for Ride-Hailing
por: Gao, Song, et al.
Publicado: (2026)

End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
por: Luo, Lirui, et al.
Publicado: (2024)

An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
por: Zeng, Taihelong, et al.
Publicado: (2025)

A Provable Approach for End-to-End Safe Reinforcement Learning
por: Wachi, Akifumi, et al.
Publicado: (2025)

DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi
por: Ning, Yansong, et al.
Publicado: (2025)

Maximal Compatibility Matching for Preference-Aware Ride-Hailing Systems
por: Brar, Avalpreet Singh, et al.
Publicado: (2025)

Leveraging Eclipse MOSAIC for Modeling and Analyzing Ride-Hailing Services
por: Schrab, Karl, et al.
Publicado: (2024)

In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach
por: Gao, Yiran, et al.
Publicado: (2026)

EVA: Efficient Reinforcement Learning for End-to-End Video Agent
por: Zhang, Yaolun, et al.
Publicado: (2026)

Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning
por: Lu, Siyi, et al.
Publicado: (2024)

Vehicle Dispatching and Routing of On-Demand Intercity Ride-Pooling Services: A Multi-Agent Hierarchical Reinforcement Learning Approach
por: Si, Jinhua, et al.
Publicado: (2023)

Receding-Horizon Games with Tullock-Based Profit Functions for Electric Ride-Hailing Markets
por: Maljkovic, Marko, et al.
Publicado: (2024)

Frailty-Aware Transformer for Recurrent Survival Modeling of Driver Retention in Ride-Hailing Platforms
por: Xu, Shuoyan, et al.
Publicado: (2025)

One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms
por: Zhao, Zijian, et al.
Publicado: (2025)

Follow-Me in Micro-Mobility with End-to-End Imitation Learning
por: Salimpour, Sahar, et al.
Publicado: (2025)

BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch
por: Hu, Yulong, et al.
Publicado: (2025)

Reinforced Reasoning for End-to-End Retrosynthetic Planning
por: Zuo, Chenyang, et al.
Publicado: (2026)

End-to-End Transformer Acceleration Through Processing-in-Memory Architectures
por: Yang, Xiaoxuan, et al.
Publicado: (2025)

Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets
por: Maljkovic, Marko, et al.
Publicado: (2022)

The Impact of Autonomous Vehicles on Ride-Hailing Platforms with Strategic Human Drivers
por: Gao, Shuqin, et al.
Publicado: (2024)

BEVDiffLoc: End-to-End LiDAR Global Localization in BEV View based on Diffusion Model
por: Wang, Ziyue, et al.
Publicado: (2025)

MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning
por: Zhang, Yaolun, et al.
Publicado: (2026)

End-to-End Optimization of LLM-Driven Multi-Agent Search Systems via Heterogeneous-Group-Based Reinforcement Learning
por: Chen, Guanzhong, et al.
Publicado: (2025)

Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning
por: Chen, Zhuoen, et al.
Publicado: (2026)

End-to-End Reinforcement Learning for Torque Based Variable Height Hopping
por: Soni, Raghav, et al.
Publicado: (2023)

Representation Purification for End-to-End Speech Translation
por: Zhang, Chengwei, et al.
Publicado: (2024)

Training Multi-Image Vision Agents via End2End Reinforcement Learning
por: Dong, Chengqi, et al.
Publicado: (2025)