Imagen de Portada

Energy Efficient Task Offloading in UAV-Enabled MEC Using a Fully Decentralized Deep Reinforcement Learning Approach

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Asadian-Rad, Hamidreza, Soleimani, Hossein, Farahmand, Shahrokh
Formato:	Preprint
Publicado:	2025
Materias:	Multiagent Systems Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
por: Jiang, Jiechuan, et al.
Publicado: (2024)

Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD update
por: Hairi, Fnu, et al.
Publicado: (2024)

Decentralized Coordination of Distributed Energy Resources through Local Energy Markets and Deep Reinforcement Learning
por: May, Daniel, et al.
Publicado: (2024)

UAV-Assisted Multi-Task Federated Learning with Task Knowledge Sharing
por: Yang, Yubo, et al.
Publicado: (2025)

Fully Independent Communication in Multi-Agent Reinforcement Learning
por: Pina, Rafael, et al.
Publicado: (2024)

Communication-Aware Multi-Agent Reinforcement Learning for Decentralized Cooperative UAV Deployment
por: Fan, Enguang, et al.
Publicado: (2026)

Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
por: Zhang, Zhiyao, et al.
Publicado: (2025)

On-policy Actor-Critic Reinforcement Learning for Multi-UAV Exploration
por: Farid, Ali Moltajaei, et al.
Publicado: (2024)

Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks
por: Yahya, Mariam, et al.
Publicado: (2024)

Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking
por: Zhu, Yujiao, et al.
Publicado: (2024)

Fully-Decentralized MADDPG with Networked Agents
por: Bolliger, Diego, et al.
Publicado: (2025)

Decentralized Diffusion Policy Learning for Enhanced Exploration in Cooperative Multi-agent Reinforcement Learning
por: Zhang, Yuyang, et al.
Publicado: (2026)

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

Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping
por: Krishnan, Srivatsan, et al.
Publicado: (2025)

MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning
por: Ratnabala, Lavanya, et al.
Publicado: (2025)

Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approach
por: Zhao, Chenxi, et al.
Publicado: (2023)

Chisme: Fully Decentralized Differentiated Deep Learning for IoT Intelligence
por: Kuttivelil, Harikrishna, et al.
Publicado: (2025)

Peer-to-Peer Energy Trading of Solar and Energy Storage: A Networked Multiagent Reinforcement Learning Approach
por: Feng, Chen, et al.
Publicado: (2024)

Sensor to Pixels: Decentralized Swarm Gathering via Image-Based Reinforcement Learning
por: Koifman, Yigal, et al.
Publicado: (2026)

DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning Algorithm considering Peak and Average Constraints
por: Hassan, Raheeb, et al.
Publicado: (2023)

Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms
por: Shah, Mian Ibad Ali, et al.
Publicado: (2024)

Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
por: Huh, Dom, et al.
Publicado: (2024)

Spatiotemporal Attention-Augmented Inverse Reinforcement Learning for Multi-Agent Task Allocation
por: Yin, Huilin, et al.
Publicado: (2025)

A Survey of Multi-Agent Deep Reinforcement Learning with Communication
por: Zhu, Changxi, et al.
Publicado: (2022)

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures
por: Uddin, Ashab, et al.
Publicado: (2025)

Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning
por: Yoshida, Naoto, et al.
Publicado: (2025)

Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information
por: Corazza, Jan, et al.
Publicado: (2025)

A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforcement Learning in Traffic Signal Control
por: Rezaali, Arash, et al.
Publicado: (2025)

Game-Theoretic and Reinforcement Learning-Based Cluster Head Selection for Energy-Efficient Wireless Sensor Network
por: Eskandarpour, Mehrshad, et al.
Publicado: (2025)

Multi-Agent Deep Reinforcement Learning for Collaborative UAV Relay Networks under Jamming Atatcks
por: Nguyen, Thai Duong, et al.
Publicado: (2025)

CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
por: Minelli, Giovanni, et al.
Publicado: (2023)

Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
por: Du, Hung, et al.
Publicado: (2025)

Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards
por: Freymuth, Niklas, et al.
Publicado: (2024)

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
por: Schäfer, Lukas, et al.
Publicado: (2023)

Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
por: Na, Hyungho, et al.
Publicado: (2024)

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning
por: Deihim, Azad, et al.
Publicado: (2025)

Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
por: Shi, Laixi, et al.
Publicado: (2024)

Harnessing Implicit Cooperation: A Multi-Agent Reinforcement Learning Approach Towards Decentralized Local Energy Markets
por: Salazar-Pena, Nelson, et al.
Publicado: (2026)

A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes
por: Cheruiyot, Kemboi, et al.
Publicado: (2025)

A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control
por: Satheesh, Anirudh, et al.
Publicado: (2025)