Image de couverture de livre

BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hu, Yulong, Feng, Siyuan, Li, Sen
Format:	Preprint
Publié:	2025
Sujets:	Multiagent Systems Artificial Intelligence Emerging Technologies Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms
par: Zhao, Zijian, et autres
Publié: (2025)

Coordinating Ride-Pooling with Public Transit using Reward-Guided Conservative Q-Learning: An Offline Training and Online Fine-Tuning Reinforcement Learning Framework
par: Hu, Yulong, et autres
Publié: (2025)

LCGuard: Latent Communication Guard for Safe KV Sharing in Multi-Agent Systems
par: Asif, Sadia, et autres
Publié: (2026)

Demystifying AI Agents: The Final Generation of Intelligence
par: McNamara, Kevin J, et autres
Publié: (2025)

Multi-agent Systems for Misinformation Lifecycle : Detection, Correction And Source Identification
par: Gautam, Aditya
Publié: (2025)

Interacting Large Language Model Agents. Interpretable Models and Social Learning
par: Jain, Adit, et autres
Publié: (2024)

Triple-BERT: Do We Really Need MARL for Order Dispatch on Ride-Sharing Platforms?
par: Zhao, Zijian, et autres
Publié: (2025)

Altruistic Ride Sharing: A Framework for Fair and Sustainable Urban Mobility via Peer-to-Peer Incentives
par: Singh, Divyanshu, et autres
Publié: (2025)

Multi-Agent Risks from Advanced AI
par: Hammond, Lewis, et autres
Publié: (2025)

A Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AI
par: Amalfitano, Domenico, et autres
Publié: (2025)

Content Caching-Assisted Vehicular Edge Computing Using Multi-Agent Graph Attention Reinforcement Learning
par: Shen, Jinjin, et autres
Publié: (2024)

Q-RESTORE: Quantum-Driven Framework for Resilient and Equitable Transportation Network Restoration
par: Udekwe, Daniel, et autres
Publié: (2025)

Quantum Computing and Neuromorphic Computing for Safe, Reliable, and explainable Multi-Agent Reinforcement Learning: Optimal Control in Autonomous Robotics
par: Taghavi, Mazyar, et autres
Publié: (2024)

KGLAMP: Knowledge Graph-guided Language model for Adaptive Multi-robot Planning and Replanning
par: Shek, Chak Lam, et autres
Publié: (2026)

MI9: An Integrated Runtime Governance Framework for Agentic AI
par: Wang, Charles L., et autres
Publié: (2025)

Autonomous Traffic Signal Optimization Using Digital Twin and Agentic AI for Real-Time Decision-Making
par: Jan, Salman, et autres
Publié: (2026)

Towards a HIPAA Compliant Agentic AI System in Healthcare
par: Neupane, Subash, et autres
Publié: (2025)

TruthTensor: Evaluating LLMs through Human Imitation on Prediction Market under Drift and Holistic Reasoning
par: Shahabi, Shirin, et autres
Publié: (2026)

Engineering Risk-Aware, Security-by-Design Frameworks for Assurance of Large-Scale Autonomous AI Models
par: Tallam, Krti
Publié: (2025)

Integration of TinyML and LargeML: A Survey of 6G and Beyond
par: Vu, Thai-Hoc, et autres
Publié: (2025)

A transformer-based deep q learning approach for dynamic load balancing in software-defined networks
par: Owusu, Evans Tetteh, et autres
Publié: (2025)

AI-driven Orchestration at Scale: Estimating Service Metrics on National-Wide Testbeds
par: Moreira, Rodrigo, et autres
Publié: (2025)

Urban Air Mobility as a System of Systems: An LLM-Enhanced Holonic Approach
par: Sadik, Ahmed R., et autres
Publié: (2025)

Scale-Plan: Scalable Language-Enabled Task Planning for Heterogeneous Multi-Robot Teams
par: Gupta, Piyush, et autres
Publié: (2026)

AutoStreamPipe: LLM Assisted Automatic Generation of Data Stream Processing Pipelines
par: Younesi, Abolfazl, et autres
Publié: (2025)

Fusion Intelligence: Confluence of Natural and Artificial Intelligence for Enhanced Problem-Solving Efficiency
par: Kalavakonda, Rohan Reddy, et autres
Publié: (2024)

S2Act: Simple Spiking Actor
par: Akcal, Ugur, et autres
Publié: (2026)

Collaborative Distributed Machine Learning
par: Jin, David, et autres
Publié: (2023)

eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels
par: DeRieux, Alexander, et autres
Publié: (2024)

Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility
par: Xia, Yuchen, et autres
Publié: (2024)

LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins
par: Xia, Yuchen, et autres
Publié: (2024)

Beyond the model: Key differentiators in large language models and multi-agent services
par: Goyal, Muskaan, et autres
Publié: (2025)

On the Ethical Considerations of Generative Agents
par: Diamond, N'yoma, et autres
Publié: (2024)

SentinelAI: A Multi-Agent Framework for Structuring and Linking NG9-1-1 Emergency Incident Data
par: Ho, Kliment, et autres
Publié: (2026)

ClinEnv: An Interactive Multi-Stage Long Horizon EHR Environment for Agents
par: Lu, Yuxing, et autres
Publié: (2026)

Synergistic Simulations: Multi-Agent Problem Solving with Large Language Models
par: Sprigler, Asher, et autres
Publié: (2024)

Scaling Multiagent Systems with Process Rewards
par: Li, Ed, et autres
Publié: (2026)

LLM-Ehnanced Holonic Architecture for Ad-Hoc Scalable SoS
par: Ashfaq, Muhammad, et autres
Publié: (2025)

Agentic Witnessing: Pragmatic and Scalable TEE-Enabled Privacy-Preserving Auditing
par: Rowstron, Antony
Publié: (2026)

Training-Free Agentic AI: Probabilistic Control and Coordination in Multi-Agent LLM Systems
par: Hosseini, Mohammad Parsa, et autres
Publié: (2026)