Python reinforcement learning: solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow

Reinforcement learning and deep reinforcement learning are the trending and most promising branches of artificial intelligence. This Learning Path will enable you to master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms and their lim...

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Detalles Bibliográficos
Autores principales: Ravichandiran, Sudharsan, Saito, Sean, Shanmugamani, Rajalingappaa, Wenzhuo, Yang
Lenguaje:eng
Publicado: Packt Publishing 2019
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2679961
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author Ravichandiran, Sudharsan
Saito, Sean
Shanmugamani, Rajalingappaa
Wenzhuo, Yang
author_facet Ravichandiran, Sudharsan
Saito, Sean
Shanmugamani, Rajalingappaa
Wenzhuo, Yang
author_sort Ravichandiran, Sudharsan
collection CERN
description Reinforcement learning and deep reinforcement learning are the trending and most promising branches of artificial intelligence. This Learning Path will enable you to master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms and their limitations.
id cern-2679961
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
publisher Packt Publishing
record_format invenio
spelling cern-26799612021-04-21T18:23:24Zhttp://cds.cern.ch/record/2679961engRavichandiran, SudharsanSaito, SeanShanmugamani, RajalingappaaWenzhuo, YangPython reinforcement learning: solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlowComputing and ComputersReinforcement learning and deep reinforcement learning are the trending and most promising branches of artificial intelligence. This Learning Path will enable you to master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms and their limitations.Packt Publishingoai:cds.cern.ch:26799612019
spellingShingle Computing and Computers
Ravichandiran, Sudharsan
Saito, Sean
Shanmugamani, Rajalingappaa
Wenzhuo, Yang
Python reinforcement learning: solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow
title Python reinforcement learning: solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow
title_full Python reinforcement learning: solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow
title_fullStr Python reinforcement learning: solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow
title_full_unstemmed Python reinforcement learning: solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow
title_short Python reinforcement learning: solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow
title_sort python reinforcement learning: solve complex real-world problems by mastering reinforcement learning algorithms using openai gym and tensorflow
topic Computing and Computers
url http://cds.cern.ch/record/2679961
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AT shanmugamanirajalingappaa pythonreinforcementlearningsolvecomplexrealworldproblemsbymasteringreinforcementlearningalgorithmsusingopenaigymandtensorflow
AT wenzhuoyang pythonreinforcementlearningsolvecomplexrealworldproblemsbymasteringreinforcementlearningalgorithmsusingopenaigymandtensorflow

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