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Download the fantastic book titled An Introduction to Deep Reinforcement Learning written by Vincent Francois-Lavet, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "An Introduction to Deep Reinforcement Learning", which was released on 20 December 2018. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the genre.

Summary of An Introduction to Deep Reinforcement Learning by Vincent Francois-Lavet PDF

Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine. Deep RL opens up many new applications in domains such as healthcare, robotics, smart grids, finance, and many more. This book provides the reader with a starting point for understanding the topic. Although written at a research level it provides a comprehensive and accessible introduction to deep reinforcement learning models, algorithms and techniques. Particular focus is on the aspects related to generalization and how deep RL can be used for practical applications. Written by recognized experts, this book is an important introduction to Deep Reinforcement Learning for practitioners, researchers and students alike.

An Introduction to Deep Reinforcement Learning

Detail About An Introduction to Deep Reinforcement Learning PDF

  • Author : Vincent Francois-Lavet
  • Publisher : Foundations and Trends (R) in Machine Learning
  • Genre :
  • Total Pages : 156 pages
  • ISBN : 9781680835380
  • PDF File Size : 53,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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An Introduction to Deep Reinforcement Learning

An Introduction to Deep Reinforcement Learning
  • Publisher : Foundations and Trends (R) in Machine Learning
  • File Size : 27,5 Mb
  • Release Date : 20 December 2018
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Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex decision-making tasks

An Introduction to Deep Reinforcement Learning

An Introduction to Deep Reinforcement Learning
  • Publisher : Unknown Publisher
  • File Size : 44,9 Mb
  • Release Date : 03 June 2024
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Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has been able to solve a wide range of complex decisionmaking tasks that

Foundations of Deep Reinforcement Learning

Foundations of Deep Reinforcement Learning
  • Publisher : Addison-Wesley Professional
  • File Size : 38,7 Mb
  • Release Date : 20 November 2019
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The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve

Reinforcement Learning, second edition

Reinforcement Learning, second edition
  • Publisher : MIT Press
  • File Size : 27,7 Mb
  • Release Date : 13 November 2018
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The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the

Introduction to Deep Learning

Introduction to Deep Learning
  • Publisher : MIT Press
  • File Size : 55,7 Mb
  • Release Date : 29 January 2019
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A project-based guide to the basics of deep learning. This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use

Deep Reinforcement Learning

Deep Reinforcement Learning
  • Publisher : Springer Nature
  • File Size : 33,9 Mb
  • Release Date : 29 June 2020
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Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously

Grokking Deep Reinforcement Learning

Grokking Deep Reinforcement Learning
  • Publisher : Manning Publications
  • File Size : 44,9 Mb
  • Release Date : 10 November 2020
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Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You’

Deep Reinforcement Learning

Deep Reinforcement Learning
  • Publisher : Springer
  • File Size : 20,7 Mb
  • Release Date : 27 June 2019
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This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable

Deep Reinforcement Learning Hands-On

Deep Reinforcement Learning Hands-On
  • Publisher : Packt Publishing Ltd
  • File Size : 27,7 Mb
  • Release Date : 31 January 2020
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New edition of the bestselling guide to deep reinforcement learning and how it's used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in

Deep Reinforcement Learning with Python

Deep Reinforcement Learning with Python
  • Publisher : Apress
  • File Size : 44,5 Mb
  • Release Date : 12 June 2021
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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