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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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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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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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Reinforcement Learning Algorithms with Python

for building self-learning agents Work with advanced Reinforcement Learning concepts and algorithms such as imitation learning and evolution;

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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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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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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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Hands-On Genetic Algorithms with Python

models using Python libraries such as DEAP, scikit-learn, and NumPy Key Features Explore the ins and outs of genetic algorithms with this fast;

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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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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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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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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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Applied Reinforcement Learning with Python

Beginning-Intermediate;...

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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 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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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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Building Machine Learning Systems with Python

reinforcement learning Who this book is forBuilding Machine Learning Systems with Python is for data scientists, machine learning developers, and;

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Artificial Intelligence with Python Cookbook

cases. Basic working knowledge of the Python programming language and machine learning concepts will help you to work with code effectively;

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Algorithms for Reinforcement Learning

Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure;

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Algorithms for Reinforcement Learning

Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure;

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Machine Learning and Data Science Blueprints for Finance From Building Trading Strategies to RoboAdvisors Using Python

over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for;

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Python Advanced Guide to Artificial Intelligence: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents us

DescriptionThis Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the;

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Statistical Reinforcement Learning

Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic;

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Statistical Reinforcement Learning

Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic;

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Hands-On Neuroevolution with Python

Python. You'll also get hands-on experience with popular Python libraries and cover examples of classical reinforcement learning, path planning;

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