How Long to Read Reinforcement Learning for Cyber-Physical Systems

How Long Does it Take to Read Reinforcement Learning for Cyber-Physical Systems?

It takes the average reader 4 hours and 17 minutes to read Reinforcement Learning for Cyber-Physical Systems by Chong Li

Assuming a reading speed of 250 words per minute. Learn more

Description

Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was inspired by recent developments in the fields of reinforcement learning (RL) and cyber-physical systems (CPSs). Rooted in behavioral psychology, RL is one of the primary strands of machine learning. Different from other machine learning algorithms, such as supervised learning and unsupervised learning, the key feature of RL is its unique learning paradigm, i.e., trial-and-error. Combined with the deep neural networks, deep RL become so powerful that many complicated systems can be automatically managed by AI agents at a superhuman level. On the other hand, CPSs are envisioned to revolutionize our society in the near future. Such examples include the emerging smart buildings, intelligent transportation, and electric grids. However, the conventional hand-programming controller in CPSs could neither handle the increasing complexity of the system, nor automatically adapt itself to new situations that it has never encountered before. The problem of how to apply the existing deep RL algorithms, or develop new RL algorithms to enable the real-time adaptive CPSs, remains open. This book aims to establish a linkage between the two domains by systematically introducing RL foundations and algorithms, each supported by one or a few state-of-the-art CPS examples to help readers understand the intuition and usefulness of RL techniques. Features Introduces reinforcement learning, including advanced topics in RL Applies reinforcement learning to cyber-physical systems and cybersecurity Contains state-of-the-art examples and exercises in each chapter Provides two cybersecurity case studies Reinforcement Learning for Cyber-Physical Systems with Cybersecurity Case Studies is an ideal text for graduate students or junior/senior undergraduates in the fields of science, engineering, computer science, or applied mathematics. It would also prove useful to researchers and engineers interested in cybersecurity, RL, and CPS. The only background knowledge required to appreciate the book is a basic knowledge of calculus and probability theory.

How long is Reinforcement Learning for Cyber-Physical Systems?

Reinforcement Learning for Cyber-Physical Systems by Chong Li is 249 pages long, and a total of 64,491 words.

This makes it 84% the length of the average book. It also has 79% more words than the average book.

How Long Does it Take to Read Reinforcement Learning for Cyber-Physical Systems Aloud?

The average oral reading speed is 183 words per minute. This means it takes 5 hours and 52 minutes to read Reinforcement Learning for Cyber-Physical Systems aloud.

What Reading Level is Reinforcement Learning for Cyber-Physical Systems?

Reinforcement Learning for Cyber-Physical Systems is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Reinforcement Learning for Cyber-Physical Systems?

Reinforcement Learning for Cyber-Physical Systems by Chong Li is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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