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You're reading from  Deep Reinforcement Learning Hands-On. - Second Edition

Product typeBook
Published inJan 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781838826994
Edition2nd Edition
Languages
Python
Tools
KerasTensorFlow
Concepts
Deep Reinforcement Learning
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Author (1)
Maxim Lapan
Maxim Lapan
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Maxim Lapan

Maxim has been working as a software developer for more than 20 years and was involved in various areas: distributed scientific computing, distributed systems and big data processing. Since 2014 he is actively using machine and deep learning to solve practical industrial tasks, such as NLP problems, RL for web crawling and web pages analysis. He has been living in Germany with his family.
Read more about Maxim Lapan

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The first training objective

Let's now discuss what we want our robot to do and how we're going to get there. It's not very hard to notice that the potential capabilities of the hardware described are quite limited:

  • We have only four servos with a constrained angle of rotation: This makes our robot's movements highly dependent on friction with the surface, as it can't bring its individual legs up, which is also the case with the Minitaur robot, which has two motors attached to every leg.
  • Our hardware capacity is small: The memory is limited, the central processing unit (CPU) is not very fast, and no hardware accelerators are present. In the subsequent sections, we will take a look at how to deal with those limitations to some extent.
  • We have no external connectivity besides a micro-USB port: Some boards might have Wi-Fi hardware, which could be used to offload the NN inference to a larger machine, but in this chapter's example, I'm...
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Deep Reinforcement Learning Hands-On. - Second Edition
Published in: Jan 2020Publisher: PacktISBN-13: 9781838826994
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Maxim Lapan

Maxim has been working as a software developer for more than 20 years and was involved in various areas: distributed scientific computing, distributed systems and big data processing. Since 2014 he is actively using machine and deep learning to solve practical industrial tasks, such as NLP problems, RL for web crawling and web pages analysis. He has been living in Germany with his family.
Read more about Maxim Lapan

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