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/

Internet

https://digital.library.unt.edu/ark:/67531/metadc1505241/

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