NaviGNN: Multi-Agent Reinforcement Learning and Graph Neural Network for Sustainable Mobility in Futuristic Smart Cities
Fuente:
arXiv
Saved in:
| Main Authors: | Bahi, Abderaouf, Ourici, Amel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Green Energy Management for Sustainable Data Centers Using Deep Reinforcement Learning
by: Bahi, Abderaouf, et al.
Published: (2025)
by: Bahi, Abderaouf, et al.
Published: (2025)
FreeGNN: Continual Source-Free Graph Neural Network Adaptation for Renewable Energy Forecasting
by: Bahi, Abderaouf, et al.
Published: (2026)
by: Bahi, Abderaouf, et al.
Published: (2026)
Graph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems
by: Chen, Hanxiao
Published: (2024)
by: Chen, Hanxiao
Published: (2024)
MOSAIC: Multi-Domain Orthogonal Session Adaptive Intent Capture for Prescient Recommendations
by: Bahi, Abderaouf, et al.
Published: (2026)
by: Bahi, Abderaouf, et al.
Published: (2026)
A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)
Graph Based Deep Reinforcement Learning Aided by Transformers for Multi-Agent Cooperation
by: Elrod, Michael, et al.
Published: (2025)
by: Elrod, Michael, et al.
Published: (2025)
Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing
by: Weil, Jannis, et al.
Published: (2024)
by: Weil, Jannis, et al.
Published: (2024)
Scaling Multi-Agent Epistemic Planning through GNN-Derived Heuristics
by: Briglia, Giovanni, et al.
Published: (2025)
by: Briglia, Giovanni, et al.
Published: (2025)
Heterogeneity in Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025)
by: Hu, Tianyi, et al.
Published: (2025)
Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025)
by: Du, Haikuo, et al.
Published: (2025)
Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)
by: Li, Simin, et al.
Published: (2025)
Multi-Agent Reinforcement Learning with Communication-Constrained Priors
by: Yang, Guang, et al.
Published: (2025)
by: Yang, Guang, et al.
Published: (2025)
Causal Mean Field Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2025)
by: Ma, Hao, et al.
Published: (2025)
Measuring Policy Distance for Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2024)
by: Hu, Tianyi, et al.
Published: (2024)
Multi-source Plume Tracing via Multi-Agent Reinforcement Learning
by: Granadeno, Pedro Antonio Alarcon, et al.
Published: (2025)
by: Granadeno, Pedro Antonio Alarcon, et al.
Published: (2025)
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)
by: Duan, Wei, et al.
Published: (2024)
CityGPT: Towards Urban IoT Learning, Analysis and Interaction with Multi-Agent System
by: Guan, Qinghua, et al.
Published: (2024)
by: Guan, Qinghua, et al.
Published: (2024)
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
by: Rudd-Jones, James, et al.
Published: (2025)
by: Rudd-Jones, James, et al.
Published: (2025)
SORA-ATMAS: Adaptive Trust Management and Multi-LLM Aligned Governance for Future Smart Cities
by: Antuley, Usama, et al.
Published: (2025)
by: Antuley, Usama, et al.
Published: (2025)
SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning
by: Long, Qian, et al.
Published: (2024)
by: Long, Qian, et al.
Published: (2024)
NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning
by: Lu, Haoran, et al.
Published: (2026)
by: Lu, Haoran, et al.
Published: (2026)
QLLM: Do We Really Need a Mixing Network for Credit Assignment in Multi-Agent Reinforcement Learning?
by: Li, Yuanjun, et al.
Published: (2025)
by: Li, Yuanjun, et al.
Published: (2025)
Achieving Equilibrium under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning
by: Li, Zhuhui, et al.
Published: (2025)
by: Li, Zhuhui, et al.
Published: (2025)
Multi-Agent Reinforcement Learning for Market Making: Competition without Collusion
by: Wang, Ziyi, et al.
Published: (2025)
by: Wang, Ziyi, et al.
Published: (2025)
Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity
by: Mai, Yuxiang, et al.
Published: (2025)
by: Mai, Yuxiang, et al.
Published: (2025)
Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2026)
by: Duan, Wei, et al.
Published: (2026)
Ariadne and Theseus: Exploration and Rendezvous with Two Mobile Agents in an Unknown Graph
by: Cosson, Romain
Published: (2024)
by: Cosson, Romain
Published: (2024)
Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)
Cooperation and Fairness in Multi-Agent Reinforcement Learning
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
Multicopy Reinforcement Learning Agents
by: Wolfe, Alicia P., et al.
Published: (2023)
by: Wolfe, Alicia P., et al.
Published: (2023)
Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
by: Du, Hung, et al.
Published: (2025)
by: Du, Hung, et al.
Published: (2025)
Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control
by: Zhang, Yuli, et al.
Published: (2025)
by: Zhang, Yuli, et al.
Published: (2025)
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
by: Toquebiau, Maxime, et al.
Published: (2024)
by: Toquebiau, Maxime, et al.
Published: (2024)
Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning
by: Oh, Dahyun, et al.
Published: (2026)
by: Oh, Dahyun, et al.
Published: (2026)
ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning
by: Abboud, Elie, et al.
Published: (2026)
by: Abboud, Elie, et al.
Published: (2026)
Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective
by: Liu, Qi, et al.
Published: (2024)
by: Liu, Qi, et al.
Published: (2024)
Trust-Based Social Learning for Communication (TSLEC) Protocol Evolution in Multi-Agent Reinforcement Learning
by: Weinberg, Abraham Itzhak
Published: (2025)
by: Weinberg, Abraham Itzhak
Published: (2025)
Multi-Agent Reinforcement Learning with Long-Term Performance Objectives for Service Workforce Optimization
by: Eissa, Kareem, et al.
Published: (2025)
by: Eissa, Kareem, et al.
Published: (2025)
Fair Compromises in Participatory Budgeting: a Multi-Agent Deep Reinforcement Learning Approach
by: Adams, Hugh, et al.
Published: (2025)
by: Adams, Hugh, et al.
Published: (2025)
Distributionally Robust Cooperative Multi-Agent Reinforcement Learning via Robust Value Factorization
by: Qu, Chengrui, et al.
Published: (2026)
by: Qu, Chengrui, et al.
Published: (2026)
Similar Items
-
Green Energy Management for Sustainable Data Centers Using Deep Reinforcement Learning
by: Bahi, Abderaouf, et al.
Published: (2025) -
FreeGNN: Continual Source-Free Graph Neural Network Adaptation for Renewable Energy Forecasting
by: Bahi, Abderaouf, et al.
Published: (2026) -
Graph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems
by: Chen, Hanxiao
Published: (2024) -
MOSAIC: Multi-Domain Orthogonal Session Adaptive Intent Capture for Prescient Recommendations
by: Bahi, Abderaouf, et al.
Published: (2026) -
A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)