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Implementation of Q learning and deep Q network for controlling a self balancing robot model

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Bibliographic Details
Published in:Robotics and Biomimetics
Format: Online Article RSS Article
Published: 2018
Subjects:
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container_title Robotics and Biomimetics
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:13549
institution FRELIP
journal_source_facet Robotics and Biomimetics
publishDate 2018
publishDateSort 2018
record_format rss_article
spellingShingle Implementation of Q learning and deep Q network for controlling a self balancing robot model
Biotechnology
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Biotechnology
Technology & Engineering — Computing
Technology & Engineering
Biotechnology
Technology & Engineering — Computing
Technology & Engineering
subject_facet Biotechnology
Technology & Engineering — Computing
Technology & Engineering
title Implementation of Q learning and deep Q network for controlling a self balancing robot model
title_auth Implementation of Q learning and deep Q network for controlling a self balancing robot model
title_full Implementation of Q learning and deep Q network for controlling a self balancing robot model
title_fullStr Implementation of Q learning and deep Q network for controlling a self balancing robot model
title_full_unstemmed Implementation of Q learning and deep Q network for controlling a self balancing robot model
title_short Implementation of Q learning and deep Q network for controlling a self balancing robot model
title_sort implementation of q learning and deep q network for controlling a self balancing robot model
topic Biotechnology
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1186/s40638-018-0091-9