How Long to Read Human-Robot Interaction Control Using Reinforcement Learning

How Long Does it Take to Read Human-Robot Interaction Control Using Reinforcement Learning?

It takes the average reader 4 hours and 57 minutes to read Human-Robot Interaction Control Using Reinforcement Learning by Wen Yu

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

Description

A comprehensive exploration of the control schemes of human-robot interactions In Human-Robot Interaction Control Using Reinforcement Learning, an expert team of authors delivers a concise overview of human-robot interaction control schemes and insightful presentations of novel, model-free and reinforcement learning controllers. The book begins with a brief introduction to state-of-the-art human-robot interaction control and reinforcement learning before moving on to describe the typical environment model. The authors also describe some of the most famous identification techniques for parameter estimation. Human-Robot Interaction Control Using Reinforcement Learning offers rigorous mathematical treatments and demonstrations that facilitate the understanding of control schemes and algorithms. It also describes stability and convergence analysis of human-robot interaction control and reinforcement learning based control. The authors also discuss advanced and cutting-edge topics, like inverse and velocity kinematics solutions, H2 neural control, and likely upcoming developments in the field of robotics. Readers will also enjoy: A thorough introduction to model-based human-robot interaction control Comprehensive explorations of model-free human-robot interaction control and human-in-the-loop control using Euler angles Practical discussions of reinforcement learning for robot position and force control, as well as continuous time reinforcement learning for robot force control In-depth examinations of robot control in worst-case uncertainty using reinforcement learning and the control of redundant robots using multi-agent reinforcement learning Perfect for senior undergraduate and graduate students, academic researchers, and industrial practitioners studying and working in the fields of robotics, learning control systems, neural networks, and computational intelligence, Human-Robot Interaction Control Using Reinforcement Learning is also an indispensable resource for students and professionals studying reinforcement learning.

How long is Human-Robot Interaction Control Using Reinforcement Learning?

Human-Robot Interaction Control Using Reinforcement Learning by Wen Yu is 288 pages long, and a total of 74,304 words.

This makes it 97% the length of the average book. It also has 91% more words than the average book.

How Long Does it Take to Read Human-Robot Interaction Control Using Reinforcement Learning Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 46 minutes to read Human-Robot Interaction Control Using Reinforcement Learning aloud.

What Reading Level is Human-Robot Interaction Control Using Reinforcement Learning?

Human-Robot Interaction Control Using Reinforcement Learning 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 Human-Robot Interaction Control Using Reinforcement Learning?

Human-Robot Interaction Control Using Reinforcement Learning by Wen Yu is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Human-Robot Interaction Control Using Reinforcement Learning by Wen Yu on Amazon click the button below.