A Parametric Study of a Deep Reinforcement Learning Control System Applied to the Swing-Up Problem o...
A Parametric Study of a Deep Reinforcement Learning Control System Applied to the Swing-Up Problem of the Cart-Pole
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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In this investigation, the nonlinear swing-up problem associated with the cart-pole system modeled as a multibody dynamical system is solved by developing a deep Reinforcement Learning (RL) controller. Furthermore, the sensitivity analysis of the deep RL controller applied to the cart-pole swing-up problem is carried out. To this end, the influence...
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A Parametric Study of a Deep Reinforcement Learning Control System Applied to the Swing-Up Problem of the Cart-Pole
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TN_cdi_doaj_primary_oai_doaj_org_article_a7d98ec72b5f400db64a089939f6874e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a7d98ec72b5f400db64a089939f6874e
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app10249013
