Skip to main content Accessibility help
Internet Explorer 11 is being discontinued by Microsoft in August 2021. If you have difficulties viewing the site on Internet Explorer 11 we recommend using a different browser such as Microsoft Edge, Google Chrome, Apple Safari or Mozilla Firefox.

Chapter 6: Learning for Robots

Chapter 6: Learning for Robots

pp. 161-184

Authors

, McGill University, Montréal, , York University, Toronto
Resources available Unlock the full potential of this textbook with additional resources. There are free resources and Instructor restricted resources available for this textbook. Explore resources
  • Add bookmark
  • Cite
  • Share

Extract

The use of machine learning in robotics is a vast and growing area of research. In this chapter we consider a few key variations using: the use of deep neural networks, the applications of reinforcement learning and especially deep reinforcement learning, and the rapidly emerging potential for large language models.

Keywords

  • Learning-based methods
  • Deep learning networks
  • Basic neural network structure
  • Convolutional neural networks
  • Other topical architectures
  • Learning control
  • Training regimes
  • Representing output features
  • Reinforcement learning
  • Using Large Language Models in robotics
  • Further reading
  • Problems

About the book

Access options

Review the options below to login to check your access.

Purchase options

eTextbook
US$64.99
Hardback
US$139.00
Paperback
US$64.99

Have an access code?

To redeem an access code, please log in with your personal login.

If you believe you should have access to this content, please contact your institutional librarian or consult our FAQ page for further information about accessing our content.

Also available to purchase from these educational ebook suppliers