:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu, Zhe, Xia, Chi, Cao, Shaosheng, Zhou, Lin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2408.02065
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System
by: Guo, Xiaotong, et al.
Published: (2023)

Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task Learning in Ride-hailing System
by: Rahman, M. H., et al.
Published: (2020)

Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks
by: Mai, Weiming, et al.
Published: (2025)

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market
by: Chen, Taijie, et al.
Published: (2026)

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

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

RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services
by: Zhao, Fei, et al.
Published: (2025)

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

A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units
by: Chen, Liyue, et al.
Published: (2024)

Cost-Ordered Feasibility for Multi-Armed Bandits with Cost Subsidy
by: Juneja, Ishank, et al.
Published: (2026)

MT$^{3}$: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning
by: Feng, Zhaopeng, et al.
Published: (2025)

Utilizing Causal Network Markers to Identify Tipping Points ahead of Critical Transition
by: Bian, Shirui, et al.
Published: (2024)

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

HCRide: Harmonizing Passenger Fairness and Driver Preference for Human-Centered Ride-Hailing
by: Jiang, Lin, et al.
Published: (2025)

MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes
by: Cao, Yunyang, et al.
Published: (2025)

Visual Analysis of Multi-outcome Causal Graphs
by: Fan, Mengjie, et al.
Published: (2024)

CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
by: Yan, Kaiwen, et al.
Published: (2025)

Causal Multi-Label Feature Selection in Federated Setting
by: Song, Yukun, et al.
Published: (2024)

Transformers versus the EM Algorithm in Multi-class Clustering
by: He, Yihan, et al.
Published: (2025)

Subsidy design for better social outcomes
by: Balcan, Maria-Florina, et al.
Published: (2024)

Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy
by: Juneja, Ishank, et al.
Published: (2025)

Utilizing Deep Learning for Enhancing Network Resilience in Finance
by: Gong, Yulu, et al.
Published: (2024)

DeepCSHAP: Utilizing Shapley Values to Explain Deep Complex-Valued Neural Networks
by: Eilers, Florian, et al.
Published: (2024)

A Survey on Graph Neural Networks for Fraud Detection in Ride Hailing Platforms
by: Hewageegana, Kanishka, et al.
Published: (2025)

RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing
by: Tang, Yuhan, et al.
Published: (2025)

Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
by: Zong, Zefang, et al.
Published: (2021)

An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing
by: Yue, Xinlang, et al.
Published: (2024)

Causal Mechanism Estimation in Multi-Sensor Systems Across Multiple Domains
by: Yu, Jingyi, et al.
Published: (2025)

On Measuring Intrinsic Causal Attributions in Deep Neural Networks
by: Saha, Saptarshi, et al.
Published: (2025)

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models
by: Zhou, Guanhao, et al.
Published: (2025)

Wormhole Dynamics in Deep Neural Networks
by: Lai, Yen-Lung, et al.
Published: (2025)

Substitution or Complement? Uncovering the Interplay between Ride-hailing Services and Public Transit
by: Jin, Zhicheng, et al.
Published: (2025)

Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling
by: Zhang, Xianjie, et al.
Published: (2023)

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
by: Huang, Wenxuan, et al.
Published: (2025)

Multi-class Temporal Logic Neural Networks
by: Li, Danyang, et al.
Published: (2024)

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
by: Feng, Zhaopeng, et al.
Published: (2025)

Frequency-adaptive Multi-scale Deep Neural Networks
by: Huang, Jizu, et al.
Published: (2024)

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

Multi-Task Anti-Causal Learning for Reconstructing Urban Events from Residents' Reports
by: Zhou, Liangkai, et al.
Published: (2026)

A Self-Constructing Multi-Expert Fuzzy System for High-dimensional Data Classification
by: Ren, Yingtao, et al.
Published: (2024)