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Reinforcement Learning

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;

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Applied Reinforcement Learning with Python

Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them;

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Hands-On Reinforcement Learning with Python

A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features Your entry point into the;

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Reinforcement Learning for Finance

This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow;

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Deep Reinforcement Learning with Python

, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding;

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Python Reinforcement Learning Projects

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries Key Features Implement Q-learning;

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Python Reinforcement Learning

Learning Path includes content from the following Packt products: Hands-On Reinforcement Learning with Python by Sudharsan Ravichandiran Python;

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Python Deep Learning

foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across;

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Zai:Deep Reinforcement Learning i_p

Python skills and a basic understanding of deep learning. About the technology Deep reinforcement learning is a form of machine;

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The The Reinforcement Learning Workshop

Start with the basics of reinforcement learning and explore deep learning concepts such as deep Q-learning, deep recurrent Q-networks, and;

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Python Machine Learning Cookbook

chapters, you will get to grips with recipes that teach you advanced techniques including reinforcement learning, deep neural networks, and;

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Python Machine Learning

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning;

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Foundations of Deep Reinforcement Learning

students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python. Understand;

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Learn Unity ML-Agents - Fundamentals of Unity Machine Learning

can be trained with machine learning methods through a simple-to-use Python API. This book takes you from the basics of Reinforcement and Q;

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Hands-On Reinforcement Learning for Games

various reinforcement learning techniques and algorithms play an important role in game development with Python. Starting with the basics, this;

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Introduction to Deep Learning

-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language;

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Applied Reinforcement Learning with Python

Beginning-Intermediate;...

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Advanced Data Analytics Using Python

models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network;

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Advanced Data Analytics Using Python

learning models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network;

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Deep Learning from the Basics: Python and Deep Learning

that are otherwise invisible to us. Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its;

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Machine Learning for Finance

A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine;

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Hands-On Deep Learning for Games

building smart games Implement deep learning models and neural networks with Python Book DescriptionThe number of applications of deep learning and;

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Deep Learning Essentials

Get to grips with the essentials of deep learning by leveraging the power of Python Key Features Your one-stop solution to get started with;

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PyTorch Deep Learning Hands-On

reinforcement learning. You will also build deep learning workflows with the PyTorch framework, migrate models built in Python to highly efficient;

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Grokking Deep Reinforcement Learning

Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required;

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Deep Learning with Theano

Develop deep neural networks in Theano with practical code examples for image classification, machine translation, reinforcement agents, or;

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Advanced Deep Learning with Keras

with Python is assumed. As an advanced book, you'll be familiar with some machine learning approaches, and some practical experience with DL;

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