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MIT Press Reinforcement Learning - An Introduction Book

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Description

Explore the fundamentals of artificial intelligence with Reinforcement Learning - An Introduction from MIT Press. This significantly expanded and updated new edition serves as a widely used text for one of the most active research areas in the field. Richard Sutton and Andrew Barto provide a clear and simple account of key ideas and algorithms used to understand how agents maximize rewards while interacting with complex, uncertain environments. This edition offers a comprehensive look at the computational approaches that drive modern AI research.

Key Features

This MIT Press book provides a clear and simple account of key ideas and algorithms within the field of reinforcement learning.

The second edition is significantly expanded and updated from the original text to reflect active research in artificial intelligence.

Authors Richard Sutton and Andrew Barto explain how agents maximize total rewards while interacting with complex and uncertain environments.

This text is a widely used resource for studying computational approaches to learning in the field of computer science.

The book covers essential concepts for anyone researching the active field of artificial intelligence and machine learning.

Product Specifications

Colour
White
Format
hardcover
Domain
Amazon UK
Release Date
23 November 2018
Listed Since
09 April 2018

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