Quantile Regression Deep Q-Networks for Multi-Agent System Control

Quantile Regression Deep Q-Networks for Multi-Agent System Control

Training autonomous agents that are capable of performing their assigned job without fail is the ultimate goal of deep reinforcement learning. This thesis introduces a dueling Quantile Regression Deep Q-network, where the network learns the state value quantile function and advantage quantile functi...

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Bibliographic Details
Main Author:	Howe, Dustin
Other Authors:	Zhong, Xiangnan
Format:	Others
Language:	English
Published:	University of North Texas 2019
Subjects:	reinforcement learning deep Q-network machine learning deep learning transfer learning multi-agent formation control ROS
Online Access:	https://digital.library.unt.edu/ark:/67531/metadc1505241/

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