Hands-on intelligent agents with OpenAI Gym: a step-by-step guide to develop AI agents using deep reinforcement learning

Detalles Bibliográficos
Autor principal: Palanisamy, Praveen
Lenguaje:eng
Publicado: Packt Publishing 2018
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2639099
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author Palanisamy, Praveen
author_facet Palanisamy, Praveen
author_sort Palanisamy, Praveen
collection CERN
id cern-2639099
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
publisher Packt Publishing
record_format invenio
spelling cern-26390992021-04-21T18:42:53Zhttp://cds.cern.ch/record/2639099engPalanisamy, PraveenHands-on intelligent agents with OpenAI Gym: a step-by-step guide to develop AI agents using deep reinforcement learningComputing and ComputersPackt Publishingoai:cds.cern.ch:26390992018
spellingShingle Computing and Computers
Palanisamy, Praveen
Hands-on intelligent agents with OpenAI Gym: a step-by-step guide to develop AI agents using deep reinforcement learning
title Hands-on intelligent agents with OpenAI Gym: a step-by-step guide to develop AI agents using deep reinforcement learning
title_full Hands-on intelligent agents with OpenAI Gym: a step-by-step guide to develop AI agents using deep reinforcement learning
title_fullStr Hands-on intelligent agents with OpenAI Gym: a step-by-step guide to develop AI agents using deep reinforcement learning
title_full_unstemmed Hands-on intelligent agents with OpenAI Gym: a step-by-step guide to develop AI agents using deep reinforcement learning
title_short Hands-on intelligent agents with OpenAI Gym: a step-by-step guide to develop AI agents using deep reinforcement learning
title_sort hands-on intelligent agents with openai gym: a step-by-step guide to develop ai agents using deep reinforcement learning
topic Computing and Computers
url http://cds.cern.ch/record/2639099
work_keys_str_mv AT palanisamypraveen handsonintelligentagentswithopenaigymastepbystepguidetodevelopaiagentsusingdeepreinforcementlearning

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