[PDF] Reinforcement Learning With Open AI, TensorFlow and Keras Using Python

英文版PDF, 2018出版 Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are interrelated. You’ll then work with theories related to re inforcement learning and see the concepts that build up the reinforcement learning process. Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov’s Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You’ll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There’s also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google’s Deep Mind and see scenarios where reinforcement learning can be used. What You'll Learn Absorb the core concepts of the reinforcement learning process Use advanced topics of deep learning and AI Work with Open AI Gym, Open AI, and Python Harness reinforcement learning with TensorFlow and Keras using Python Who This Book Is For Data scientists, machine learning and deep learning professionals, developers who want to adapt and learn reinforcement learning. Table of Contents Chapter 1: Reinforcement Learning Basics Chapter 2: RL Theory and Algorithms Chapter 3: OpenAI Basics Chapter 4: Applying Python to Reinforcement Learning Chapter 5: Reinforcement Learning with Keras, TensorFlow, and ChainerRL Chapter 6: Google’s DeepMind and the Future of Reinforcement Learning

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Deep_Learning_with_Python_Keras PDF高清版
20181023深度学习的概念源于人工神经网络的研究。含多隐层的多层感知器就是一种深度学习结构。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征，以发现数据的分布式特征表示。
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deep learning with python 正式版，非MEAP版
20171227by Francois Chollet Manning Publications 20171222 384 pages
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Deep Learning with Python.pdf
20180730If you’ve picked up this book, you’re probably aware of the extraordinary progress that deep learning has represented for the field of artificial intelligence in the recent past. In a mere five years, we’ve gone from nearunusable image recognition and speech transcription, to superhuman performance on these tasks. The consequences of this sudden progress extend to almost every industry. But in order to begin deploying deeplearning technology to every problem that it could solve, we need to make it accessible to as many people as possible, including nonexperts— people who aren’t researchers or graduate students. For deep learning to reach its full potential, we need to radically democratize it. When I released the first version of the Keras deeplearning framework in March 2015, the democratization of AI wasn’t what I had in mind. I had been doing research in machine learning for several years, and had built Keras to help me with my own experiments. But throughout 2015 and 2016, tens of thousands of new people entered the field of deep learning; many of them picked up Keras because it was—and still is—the easiest framework to get started with. As I watched scores of newcomers use Keras in unexpected, powerful ways, I came to care deeply about the accessibility and democratization of AI. I realized that the further we spread these technologies, the more useful and valuable they become. Accessibility quickly became an explicit goal in the development of Keras, and over a few short years, the Keras developer community has made fantastic achievements on this front. We’ve put deep learning into the hands of tens of thousands of people, who in turn are using it to solve important problems we didn’t even know existed until recently.
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Reinforcement Learning With Open AI, TensorFlow and Keras Using Python epub
20171229Reinforcement Learning With Open AI, TensorFlow and Keras Using Python 英文epub 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
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Reinforcement Learning With Open AI, TensorFlow and Keras Using Python
20180105Reinforcement Learning With Open AI, TensorFlow and Keras Using Python
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Reinforcement Learning With Open AI, TensorFlow and Keras Using Python 无水印原版pdf
20171229Reinforcement Learning With Open AI, TensorFlow and Keras Using Python 英文无水印原版pdf pdf所有页面使用FoxitReader、PDFXChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权...
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Reinforcement Learning : With Open AI, TensorFlow and Keras Using Python
20180729Work with Open AI Gym, Open AI, and Python Harness reinforcement learning with TensorFlow and Keras using Python Who This Book Is For Data scientists, machine learning and deep learning professionals,...
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HandsOn Reinforcement Learning with Python 2018 pdf
20180702A handson guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features Your entry point into the world of artificial intelligence using the power of Python An examplerich guide to master various RL and DRL algorithms Explore various stateoftheart architectures along with math Book Description Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. HandsOn Reinforcement learning with Python will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. This examplerich guide will introduce you to deep reinforcement learning algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will also learn about imaginationaugmented agents, learning from human preference, DQfD, HER, and many more of the recent advancements in reinforcement learning. By the end of the book, you will have all the knowledge and experience needed to implement reinforcement learning and deep reinforcement learning in your projects, and you will be all set to enter the world of artificial intelligence. What you will learn Understand the basics of reinforcement learning methods, algorithms, and elements Train an agent to walk using OpenAI Gym and Tensorflow Understand the Markov Decision Process, Bellman's optimality, and TD learning Solve multiarmedbandit problems using various algorithms Master deep learning algorithms, such as RNN, LSTM, and CNN with applications Build intelligent agents using the DRQN algorithm to play the Doom game Teach agents to play the Lunar Lander game using DDPG Train an agent to win a car racing game using dueling DQN Who This Book Is For If you're a machine learning developer or deep learning enthusiast interested in artificial intelligence and want to learn about reinforcement learning from scratch, this book is for you. Some knowledge of linear algebra, calculus, and the Python programming language will help you understand the concepts covered in this book. Table of Contents Introduction to Reinforcement Learning Getting started with OpenAI and Tensorflow Markov Decision process and Dynamic Programming Gaming with Monte Carlo Tree Search Temporal Difference Learning MultiArmed Bandit Problem Deep Learning Fundamentals Deep Learning and Reinforcement Playing Doom With Deep Recurrent Q Network Asynchronous Advantage Actor Critic Network Policy Gradients and Optimization Capstone Project – Car Racing using DQN Current Research and Next Steps
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Reinforcement Learning With Open AI TensorFlow and.Keras Using Python
20171211Reinforcement Learning With Open AI TensorFlow and.Keras Using Python
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Reinforcement Learning With Open AI, TensorFlow and Keras Using Python 强化学习原版书籍
20180307Apress Reinforcement Learning With Open AI Tensor 强化学习原版书籍, 作者：Abhishek Nandy Manisha Biswas
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Reinforcement Learning with Tensorflow(conv)
20180629强化学习英文书籍，包括：Reinforcement Learning with Tensorflow(conv)与Reinforcement Learning_ With Open AI, TensorFlow and Keras Using Python  Biswas,Nandy 两本
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Reinforcement learning合集
20190425HandsOn Reinforcement Learning with Python_ Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow (2018, Packt Publishing).pdf Keras Reinforcement Learning Projects ...
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Mastering TensorFlow 2018 pdf
20180426learning and the OpenAI gym. We build and train several models using Download from finelybook www.finelybook.com 14 various reinforcement learning strategies, including deep Q networks. Chapter 14 , ...
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Deep Learning For Dummies pdf
20190520Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the ...Harness reinforcement learning with TensorFlow and Keras using Python
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HandsOn.Machine.Learning.for.Algorithmic.Trading
20190902Finally, you will apply transfer learning to satellite images to predict economic activity and use reinforcement learning to build agents that learn to trade in the OpenAI Gym. What you will learn ...
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deep q_learning
20180619In a nutshell: `kerasrl` makes it really easy to run stateoftheart deep reinforcement learning algorithms, uses Keras and thus Theano or TensorFlow and was built with OpenAI Gym in mind. ...

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