Multi-agent behavioral control system using deep reinforcement learning

Ngoc Duy Nguyen; Thanh Thi Nguyen; Saeid Nahavandi

doi:10.1016/j.neucom.2019.05.062

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-agent behavioral control system using deep reinforcement learning

Ngoc Duy Nguyen Thanh Thi Nguyen Saeid Nahavandi

Year: 2019 Journal: Neurocomputing Vol: 359 Pages: 58-68 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2019.05.062

Get Full-Text PDF Get Analytical Report

Keywords:

Reinforcement learning Computer science Artificial intelligence Workflow Control (management) Curse of dimensionality Intelligent agent Battle Machine learning

Metrics

Cited By

2.77

FWCI (Field Weighted Citation Impact)

Refs

0.92

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Reinforcement Learning in Robotics

Physical Sciences → Computer Science → Artificial Intelligence

Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Multi-agent behavioral control system using deep reinforcement learning

Metrics

Citation History

Topics

Related Documents

Cooperative Multi-agent Control Using Deep Reinforcement Learning

Satellite Formation Control using Multi-Agent Deep Reinforcement Learning

Multi-agent Control of UAVs Using Deep Reinforcement Learning

Urban Traffic Control Using Distributed Multi-agent Deep Reinforcement Learning

Integrated Manufacturing-Microgrid Control Using Multi-Agent Deep Reinforcement Learning