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  6. Reinforcement Learning with MATLAB and Simulink

Reinforcement Learning with MATLAB and Simulink

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last updated:Sep 29, 2020

MathWorks Japan
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How to Get Started with Reinforcement Learning

Recent news has highlighted how reinforcement learning algorithms have defeated professionals in games like Go, Dota 2, and Starcraft 2. Reinforcement learning is a type of machine learning that enables the use of artificial intelligence in complex applications such as video games, robotics, and self-driving cars. If you are interested in leveraging reinforcement learning techniques in your projects but have never used them before, where should you start? This ebook will help you get started with reinforcement learning in MATLAB and Simulink by explaining terminology and providing examples, tutorials, and trial software.

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Reinforcement Learning with MATLAB and Simulink

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Section 1: Basics and Environment Setup Section 2: Structure of Rewards and Policies Section 3: Understanding and Development of Learning

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[ebook] Reinforcement Learning with MATLAB Section 1: Basics and Environment Setup

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【ebook】Understanding the Structure of Rewards and Policies in Reinforcement Learning with MATLAB Section 2

【ebook】Understanding the Structure of Rewards and Policies in Reinforcement Learning with MATLAB Section 2

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[ebook] Understanding and Expanding Learning with MATLAB Section 3: Understanding Learning and Expansion

[ebook] Understanding and Expanding Learning with MATLAB Section 3: Understanding Learning and Expansion

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MathWorks is a leading company in numerical analysis software for engineers and researchers. Engineers and scientists around the world use MathWorks products as tools to accelerate discovery, innovation, and development. Please feel free to contact us if you have any inquiries.

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