Image de couverture de livre

Decentralized Reinforcement Learning for Multi-Agent Multi-Resource Allocation via Dynamic Cluster Agreements

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Marino, Antonio, Restrepo, Esteban, Pacchierotti, Claudio, Giordano, Paolo Robuffo
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Liquid-Graph Time-Constant Network for Multi-Agent Systems Control
par: Marino, Antonio, et autres
Publié: (2024)

Multi-UAVs end-to-end Distributed Trajectory Generation over Point Cloud Data
par: Marino, Antonio, et autres
Publié: (2024)

Input State Stability of Gated Graph Neural Networks
par: Marino, Antonio, et autres
Publié: (2023)

Neural Style Transfer with Twin-Delayed DDPG for Shared Control of Robotic Manipulators
par: Fernandez-Fernandez, Raul, et autres
Publié: (2024)

Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
par: Hady, Mohamad A., et autres
Publié: (2025)

TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning
par: Paolo, Giuseppe, et autres
Publié: (2025)

Multi-Agent Reinforcement Learning for Adaptive Resource Orchestration in Cloud-Native Clusters
par: Yao, Guanzi, et autres
Publié: (2025)

Fair Dynamic Spectrum Access via Fully Decentralized Multi-Agent Reinforcement Learning
par: Zhang, Yubo, et autres
Publié: (2025)

Hypergame Theory for Decentralized Resource Allocation in Multi-user Semantic Communications
par: Thomas, Christo Kurisummoottil, et autres
Publié: (2024)

Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
par: Du, Hung, et autres
Publié: (2025)

Fair Resource Allocation in Multi-Task Learning
par: Ban, Hao, et autres
Publié: (2024)

Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning
par: Guo, Qingyun, et autres
Publié: (2026)

Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning
par: Yoshida, Naoto, et autres
Publié: (2025)

Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information
par: Corazza, Jan, et autres
Publié: (2025)

Fully Decentralized Cooperative Multi-Agent Reinforcement Learning is A Context Modeling Problem
par: Li, Chao, et autres
Publié: (2025)

Secure Resource Allocation via Constrained Deep Reinforcement Learning
par: Sun, Jianfei, et autres
Publié: (2025)

An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning
par: Amato, Christopher
Publié: (2024)

Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games
par: Altabaa, Awni, et autres
Publié: (2023)

Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
par: Jiang, Jiechuan, et autres
Publié: (2024)

Learning Decentralized Routing Policies via Graph Attention-based Multi-Agent Reinforcement Learning in Lunar Delay-Tolerant Networks
par: Lozano-Cuadra, Federico, et autres
Publié: (2025)

Addressing Rotational Learning Dynamics in Multi-Agent Reinforcement Learning
par: Sidahmed, Baraah A. M., et autres
Publié: (2024)

Spatiotemporal Attention-Augmented Inverse Reinforcement Learning for Multi-Agent Task Allocation
par: Yin, Huilin, et autres
Publié: (2025)

Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks
par: Mitsiou, Nikos A., et autres
Publié: (2025)

An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management
par: Eldeeb, Eslam, et autres
Publié: (2025)

Communication-Aware Multi-Agent Reinforcement Learning for Decentralized Cooperative UAV Deployment
par: Fan, Enguang, et autres
Publié: (2026)

A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes
par: Cheruiyot, Kemboi, et autres
Publié: (2025)

Memory Allocation in Resource-Constrained Reinforcement Learning
par: Tamborski, Massimiliano, et autres
Publié: (2025)

DECAF: Learning to be Fair in Multi-agent Resource Allocation
par: Kumar, Ashwin, et autres
Publié: (2025)

A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning
par: Benechehab, Abdelhakim, et autres
Publié: (2024)

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation
par: Le, Qi, et autres
Publié: (2024)

Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping
par: Liu, Guangyi, et autres
Publié: (2025)

Partially Decentralized Multi-Agent Q-Learning via Digital Cousins for Wireless Networks
par: Bozkus, Talha, et autres
Publié: (2025)

Dynamic Configuration of On-Street Parking Spaces using Multi Agent Reinforcement Learning
par: Jayasinghe, Oshada, et autres
Publié: (2025)

Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training
par: Hu, Pihe, et autres
Publié: (2024)

Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks
par: Hao, Xin, et autres
Publié: (2023)

Optimizing Resource-Constrained Non-Pharmaceutical Interventions for Multi-Cluster Outbreak Control Using Hierarchical Reinforcement Learning
par: Peng, Xueqiao, et autres
Publié: (2026)

Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
par: Doherty, Michael, et autres
Publié: (2025)

Graph Neural Network Aided Deep Reinforcement Learning for Resource Allocation in Dynamic Terahertz UAV Networks
par: Hu, Zhifeng, et autres
Publié: (2025)

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
par: Tang, Shuo, et autres
Publié: (2024)

Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents
par: Tec, Mauricio, et autres
Publié: (2025)