Skip to Content
Reinforcement Learning with TensorFlow
book

Reinforcement Learning with TensorFlow

by Sayon Dutta
April 2018
Intermediate to advanced content levelIntermediate to advanced
334 pages
10h 18m
English
Packt Publishing
Content preview from Reinforcement Learning with TensorFlow

Summary

In this chapter, we covered the current state of reinforcement learning algorithms and the challenges in the field of robotics. We also tried to take a look at each of the challenges in detail. We also learned about the practical challenges and its proposed solutions. Cracking the solution for end-to-end robotics will be the biggest milestone for the AI community. At present, there are challenges with continuous improvements in algorithms and data processing units; however, the day we see robots doing general human tasks is not far off. In case, you want to follow-up some of the researches done in robot reinforcement learning then you would like to start with the options below:

  • "Deep Reinforcement Learning for Robotic Manipulation ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Deep Learning with TensorFlow - Second Edition

Deep Learning with TensorFlow - Second Edition

Giancarlo Zaccone, Vihan Jain, Md. Rezaul Karim, Motaz Saad
Deep Learning with TensorFlow 2 and Keras - Second Edition

Deep Learning with TensorFlow 2 and Keras - Second Edition

Antonio Gulli, Dr. Amita Kapoor, Sujit Pal

Publisher Resources

ISBN: 9781788835725Supplemental Content