Deep Reinforcement Learning with Python - Nimish Sanghi

Deep Reinforcement Learning with Python

1ª edição

Autor:Nimish Sanghi

Editora:UmLivro, Apress

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Ano 2021Páginas 404Formato BOOKISBN 9781484268087

Sobre o livro

Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercise.

You'll begin by reviewing the Markov decision processes, Bellman equations, and dynamic programming that form the core concepts and foundation of deep reinforcement learning. Next, you'll study model-free learning followed by function approximation using neural networks and deep learning. This is followed by various deep reinforcement learning algorithms such as deep q-networks, various flavors of actor-critic methods, and other policy-based methods.

You'll also look at exploration vs exploitation dilemma, a key consideration in reinforcement learning algorithms, along with Monte Carlo tree search (MCTS), which played a key role in the success of AlphaGo. The final chapters conclude with deep reinforcement learning implementation using popular deep learning frameworks such as TensorFlow and PyTorch. In the end, you'll understand deep reinforcement learning along with deep q networks and policy gradient models implementation with TensorFlow, PyTorch, and Open AI Gym.

What You'll Learn

Examine deep reinforcement learning
Implement deep learning algorithms using OpenAI's Gym environment
Code your own game playing agents for Atari using actor-critic algorithms
Apply best practices for model building and algorithm training

Who This Book Is For

Machine learning developers and architects who want to stay ahead of the curve in the field of AI and deep learning.

Ficha técnica

Autor: Nimish Sanghi
Editora: UmLivro, Apress
Formato: BOOK
Encadernação: Capa comum
ISBN: 9781484268087
EAN: 9781484268087
Ano de Publicação: 2021
Número de Páginas: 404
Dimensões: 25.4 x 17.8 x 3 cm
Peso: 0.7 kg
Idioma: pt-BR
Edição: 1
SKU: 9781484268087

Sobre o autor

Quem é Nimish Sanghi? Livros, Biografia e Ideias do Autor

Nimish Sanghi é autor de Deep Reinforcement Learning with Python. Consulte o perfil para conhecer outras obras e informações bibliográficas.

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Perguntas frequentes

Sobre o que é o livro Deep Reinforcement Learning with Python?

Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercise.

Quem escreveu Deep Reinforcement Learning with Python?

Deep Reinforcement Learning with Python foi escrito por Nimish Sanghi.

Quais são os dados desta edição?

Esta edição é publicada pela UmLivro, em 2021, com 404 páginas e no formato Capa comum.

Qual é o ISBN de Deep Reinforcement Learning with Python?

O ISBN/EAN informado para esta edição é 9781484268087.

Onde comparar preços de Deep Reinforcement Learning with Python?

A Orelha de Livro compara a oferta disponível para esta edição. O preço e a disponibilidade finais devem ser confirmados na loja.

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