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Introduction to Machine Learning

A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural;

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Reinforcement Learning

discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. Reinforcement learning;

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Recent Advances in Reinforcement Learning

symbolic levels. As a participant in this 8th European Workshop on Reinforcement Learning, I was struck by both the quality and quantity of the;

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Reinforcement Learning for Finance

. It covers recent reinforcement learning algorithms from double deep-Q networks to twin-delayed deep deterministic policy gradients and;

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Innovative Infrastructure Solutions using Geosynthetics

. In recent years, there have been advances in the area of soil reinforcement, especially in the utilization of the technique in field projects. The;

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Hands-On Reinforcement Learning with Python

of the recent advancements in reinforcement learning. By the end of the book, you will have all the knowledge and experience needed to implement;

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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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Recent Advances and Applications of Thermoset Resins

recent advances in various aspects, including toughening, micro-reinforcement, nano-reinforcement, simultaneous nano-reinforcement and toughening;

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Reinforcement Learning

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve;

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Advances in Hybridization of Intelligent Methods

, machine learning, reinforcement learning, deep learning, agent-based approaches, knowledge-based system and image processing. The book includes;

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Advanced Data Analytics Using Python

architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You'll;

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Advanced Data Analytics Using Python

architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You;

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Deep Reinforcement Learning

Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as;

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Recent Advances in Robot Learning

Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection;

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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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Reinforcement Learning

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational;

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Applied Reinforcement Learning with Python

Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important;

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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;

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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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Human-Robot Interaction Control Using Reinforcemen t Learning

, model-free and reinforcement learning controllers. The book begins with a brief introduction to state-of-the-art human-robot interaction control;

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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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Motivated Reinforcement Learning

extend reinforcement learning to adaptive, multitask learning in complex, dynamic environments - the goal being to understand how machines can;

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New Horizons in Earth Reinforcement

-established earth reinforcement technologies are regularly augmented by new materials, innovative construction techniques and advances in design and;

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New Horizons in Earth Reinforcement

-established earth reinforcement technologies are regularly augmented by new materials, innovative construction techniques and advances in design and;

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Recent Advances in Learning Automata

This book collects recent theoretical advances and concrete applications of learning automata (LAs) in various areas of computer science;

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Supervised Reinforcement Learning

Supervised Reinforcement Learning is een boek van Karla Conn;

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