Cover Image

Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yihong, Zhang, Xiaoxi, Zeng, Tianyu, Duan, Jingpu, Wu, Chuan, Wu, Di, Chen, Xu
Format:	Preprint
Published:	2023
Subjects:	Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning
by: Ren, Tianyu, et al.
Published: (2025)

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

Multi-Agent Reinforcement Learning for Multi-Cell Spectrum and Power Allocation
by: Zhang, Yiming, et al.
Published: (2023)

Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration
by: Xu, Cheng, et al.
Published: (2024)

HIPPO-MAT: Decentralized Task Allocation Using GraphSAGE and Multi-Agent Deep Reinforcement Learning
by: Ratnabala, Lavanya, et al.
Published: (2025)

Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
by: Hady, Mohamad A., et al.
Published: (2025)

VissimRL: A Multi-Agent Reinforcement Learning Framework for Traffic Signal Control Based on Vissim
by: Chang, Hsiao-Chuan, et al.
Published: (2026)

Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning
by: Liang, Yongheng, et al.
Published: (2024)

A Local Information Aggregation based Multi-Agent Reinforcement Learning for Robot Swarm Dynamic Task Allocation
by: Lv, Yang, et al.
Published: (2024)

LLM-ALSO: LLM-Driven Adaptive Learning-Signal Optimization for Multi-Agent Reinforcement Learning
by: Wu, Xiaoguang, et al.
Published: (2026)

Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning
by: Shi, Yuchen, et al.
Published: (2024)

MARPO: A Reflective Policy Optimization for Multi Agent Reinforcement Learning
by: Wu, Cuiling, et al.
Published: (2025)

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

Stable Task Allocation in Multi-Agent Systems with Lexicographic Preferences
by: Reveliotis, Spyros, et al.
Published: (2025)

Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning
by: Oh, Dahyun, et al.
Published: (2026)

Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023)

Multi-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-enabled Multi-Agent Reinforcement Learning
by: Wang, Shengbo, et al.
Published: (2024)

Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
by: Feng, Pu, et al.
Published: (2024)

NaviGNN: Multi-Agent Reinforcement Learning and Graph Neural Network for Sustainable Mobility in Futuristic Smart Cities
by: Bahi, Abderaouf, et al.
Published: (2025)

Multi-Agent Cooperative Transportation: Optimal and Efficient Task Allocation and Path Finding
by: Zhou, Ning, et al.
Published: (2026)

Distributed Task Allocation for Multi-Agent Systems: A Submodular Optimization Approach
by: Liu, Jing, et al.
Published: (2024)

Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning
by: Zhang, Xinren, et al.
Published: (2025)

Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Decisions with Expertise-Informed Tasks
by: Kuroswiski, Andre R, et al.
Published: (2024)

Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2025)

Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning
by: Ren, Tianyu, et al.
Published: (2024)

Multi-Agent Reinforcement Learning for UAV-Based Chemical Plume Source Localization
by: Li, Zhirun, et al.
Published: (2026)

Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation
by: Bezerra, Lucas C. D., et al.
Published: (2024)

GraphMASAL: A Graph-based Multi-Agent System for Adaptive Learning
by: Zeng, Biqing, et al.
Published: (2025)

An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management
by: Eldeeb, Eslam, et al.
Published: (2025)

Logic-Based Verification of Task Allocation for LLM-Enabled Multi-Agent Manufacturing Systems
by: Lim, Jonghan, et al.
Published: (2026)

AGCo-MATA: Air-Ground Collaborative Multi-Agent Task Allocation in Mobile Crowdsensing
by: Shao, Tianhao, et al.
Published: (2025)

SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning
by: Long, Qian, et al.
Published: (2024)

Multi-Agent Reinforcement Learning with Communication-Constrained Priors
by: Yang, Guang, et al.
Published: (2025)

Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)

An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning
by: Rudd-Jones, James, et al.
Published: (2025)

MA2RL: Masked Autoencoders for Generalizable Multi-Agent Reinforcement Learning
by: Feng, Jinyuan, et al.
Published: (2025)

From Pixels to Cooperation Multi Agent Reinforcement Learning based on Multimodal World Models
by: Akin, Sureyya, et al.
Published: (2025)

CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution
by: Lin, Yufei, et al.
Published: (2025)

Learning Nudges for Conditional Cooperation: A Multi-Agent Reinforcement Learning Model
by: Kulkarni, Shatayu, et al.
Published: (2024)

Learning Reward Machines in Cooperative Multi-Agent Tasks
by: Ardon, Leo, et al.
Published: (2023)