Cooperative task assignment in spatial crowdsourcing via multi-agent deep reinforcement learning

Pengcheng Zhao; Xiang Li; Shang Gao; Xiaohui Wei

doi:10.1016/j.sysarc.2022.102551

ScienceGate Book Chapters

JOURNAL ARTICLE

Cooperative task assignment in spatial crowdsourcing via multi-agent deep reinforcement learning

Pengcheng Zhao Xiang Li Shang Gao Xiaohui Wei

Year: 2022 Journal: Journal of Systems Architecture Vol: 128 Pages: 102551-102551 Publisher: Elsevier BV

DOI: 10.1016/j.sysarc.2022.102551

Get Full-Text PDF Get Analytical Report

Keywords:

Crowdsourcing Computer science Reinforcement learning Task (project management) Artificial intelligence Human–computer interaction Machine learning World Wide Web

Metrics

Cited By

7.23

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Mobile Crowdsensing and Crowdsourcing

Physical Sciences → Computer Science → Computer Science Applications

Modular Robots and Swarm Intelligence

Physical Sciences → Engineering → Mechanical Engineering

Evacuation and Crowd Dynamics

Physical Sciences → Engineering → Ocean Engineering

Cooperative task assignment in spatial crowdsourcing via multi-agent deep reinforcement learning

Metrics

Citation History

Topics

Related Documents

Deep Reinforcement Learning for Task Assignment in Spatial Crowdsourcing and Sensing

Multi-Agent Reinforcement Learning based Warehouse Task Assignment

Decentralized Task Assignment for Mobile Crowdsensing With Multi-Agent Deep Reinforcement Learning

Batch-Based Cooperative Task Assignment in Spatial Crowdsourcing

Multi-Level Credit Assignment for Cooperative Multi-Agent Reinforcement Learning