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Foundations of Deep Reinforcement Learning: Theory and Practice in Python

Detalles Bibliográficos
Autor principal: Graesser, Laura
Lenguaje:eng
Publicado: Addison-Wesley Professional 2019
Materias:
XX
Acceso en línea:http://cds.cern.ch/record/2739601
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author Graesser, Laura
author_facet Graesser, Laura
author_sort Graesser, Laura
collection CERN
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
publisher Addison-Wesley Professional
record_format invenio
spelling cern-27396012021-04-21T16:46:42Zhttp://cds.cern.ch/record/2739601engGraesser, LauraFoundations of Deep Reinforcement Learning: Theory and Practice in PythonXXAddison-Wesley Professionaloai:cds.cern.ch:27396012019
spellingShingle XX
Graesser, Laura
Foundations of Deep Reinforcement Learning: Theory and Practice in Python
title Foundations of Deep Reinforcement Learning: Theory and Practice in Python
title_full Foundations of Deep Reinforcement Learning: Theory and Practice in Python
title_fullStr Foundations of Deep Reinforcement Learning: Theory and Practice in Python
title_full_unstemmed Foundations of Deep Reinforcement Learning: Theory and Practice in Python
title_short Foundations of Deep Reinforcement Learning: Theory and Practice in Python
title_sort foundations of deep reinforcement learning: theory and practice in python
topic XX
url http://cds.cern.ch/record/2739601
work_keys_str_mv AT graesserlaura foundationsofdeepreinforcementlearningtheoryandpracticeinpython