Image de couverture de livre

Semi-Markov Reinforcement Learning for City-Scale EV Ride-Hailing with Feasibility-Guaranteed Actions

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Nguyen, An, Nguyen, Hoang, Le, Phuong, Pham, Hung, Do, Cuong, Ghaoui, Laurent El
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Hybrid Cross-domain Robust Reinforcement Learning
par: Van, Linh Le Pham, et autres
Publié: (2025)

Timing the Match: A Deep Reinforcement Learning Approach for Ride-Hailing and Ride-Pooling Services
par: Bao, Yiman, et autres
Publié: (2025)

Tree-Sliced Wasserstein Distance with Nonlinear Projection
par: Tran, Thanh, et autres
Publié: (2025)

REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization
par: Nguyen, Huyen, et autres
Publié: (2025)

Variable-Agnostic Causal Exploration for Reinforcement Learning
par: Nguyen, Minh Hoang, et autres
Publié: (2024)

A Cost-Optimization Model for EV Charging Stations Utilizing Solar Energy and Variable Pricing
par: Nguyen, An, et autres
Publié: (2025)

Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models
par: Hoang, Cuong, et autres
Publié: (2026)

CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning
par: Nguyen, Minh Hoang, et autres
Publié: (2025)

DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning
par: Van, Linh Le Pham, et autres
Publié: (2025)

Long-term Fairness in Ride-Hailing Platform
par: Kang, Yufan, et autres
Publié: (2024)

An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing
par: Yue, Xinlang, et autres
Publié: (2024)

Adaptive Correlation-Weighted Intrinsic Rewards for Reinforcement Learning
par: Nguyen, Viet Bac, et autres
Publié: (2026)

Comparing Deep Neural Network for Multi-Label ECG Diagnosis From Scanned ECG
par: Nguyen, Cuong V., et autres
Publié: (2025)

ToolBrain: A Flexible Reinforcement Learning Framework for Agentic Tools
par: Le, Quy Minh, et autres
Publié: (2025)

Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Subsidy Strategies
par: Shi, Fangzhou, et autres
Publié: (2025)

A Progressive Visual-Logic-Aligned Framework for Ride-Hailing Adjudication
par: Wu, Weiming, et autres
Publié: (2026)

The Emergence of Deep Reinforcement Learning for Path Planning
par: Nguyen, Thanh Thi, et autres
Publié: (2025)

Efficient Bilevel Optimization for Meta Label Correction in Noisy Label Learning
par: Nguyen, Ba Hoang Anh, et autres
Publié: (2026)

Count What You Want: Exemplar Identification and Few-shot Counting of Human Actions in the Wild
par: Huang, Yifeng, et autres
Publié: (2023)

Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition
par: Nguyen, Duc-Anh, et autres
Publié: (2023)

ByteRover: Agent-Native Memory Through LLM-Curated Hierarchical Context
par: Nguyen, Andy, et autres
Publié: (2026)

Memorization Control in Diffusion Models from Denoising-centric Perspective
par: Vu, Thuy Phuong, et autres
Publié: (2026)

ViLLM-Eval: A Comprehensive Evaluation Suite for Vietnamese Large Language Models
par: Nguyen, Trong-Hieu, et autres
Publié: (2024)

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
par: Nguyen, Huu Hiep, et autres
Publié: (2026)

A Survey on Graph Neural Networks for Fraud Detection in Ride Hailing Platforms
par: Hewageegana, Kanishka, et autres
Publié: (2025)

SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning
par: Do, Dai, et autres
Publié: (2025)

SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher
par: Dao, Trung, et autres
Publié: (2024)

LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
par: Le, Khiem H., et autres
Publié: (2022)

Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship
par: Nguyen, Nang Hung, et autres
Publié: (2026)

Fake Advertisements Detection Using Automated Multimodal Learning: A Case Study for Vietnamese Real Estate Data
par: Nguyen, Duy, et autres
Publié: (2025)

ClaimPKG: Enhancing Claim Verification via Pseudo-Subgraph Generation with Lightweight Specialized LLM
par: Pham, Hoang, et autres
Publié: (2025)

Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
par: Nguyen, Duong M., et autres
Publié: (2025)

Scalable AI Inference: Performance Analysis and Optimization of AI Model Serving
par: Pham, Hung Cuong, et autres
Publié: (2026)

On Goodhart's law, with an application to value alignment
par: El-Mhamdi, El-Mahdi, et autres
Publié: (2024)

Revisiting LARS for Large Batch Training Generalization of Neural Networks
par: Do, Khoi, et autres
Publié: (2023)

AFSS: Artifact-Focused Self-Synthesis for Mitigating Bias in Audio Deepfake Detection
par: Nguyen-Le, Hai-Son, et autres
Publié: (2026)

Variational Flow Models: Flowing in Your Style
par: Do, Kien, et autres
Publié: (2024)

Causal-Aware Generative Adversarial Networks with Reinforcement Learning
par: Nguyen, Tu Anh Hoang, et autres
Publié: (2025)

Effect-Level Validation for Causal Discovery
par: Dang, Hoang, et autres
Publié: (2026)

FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications
par: Pham, Nga, et autres
Publié: (2024)