September 2018
Intermediate to advanced
288 pages
7h 38m
English
book
Keras Reinforcement Learning Projects
by Giuseppe Ciaburro, Sudharsan Ravichandiran, Suriyadeepan Ramamoorthy
Content preview from Keras Reinforcement Learning Projects
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Robot Control System Using Deep Reinforcement Learning
Robots are now an integral part of our living environments. In the industrial field, they represent a valid aid to humankind by replacing people in alienating job. The task of a robot control system is to execute the planned sequence of movements and to identify an alternative path in the presence of obstacles. In this chapter, we address the problem of robot navigation in simple maze-like environments where the robot has to rely on its onboard sensors to perform navigation tasks.
The following topics are covered in this chapter:
- Robot control overview
- Environment to control robot mobility
- Q-learning
- Deep Q-learning
At the end of the chapter, the reader will learn the basis of robot ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.