February 2020
Intermediate to advanced
432 pages
10h 50m
English
Content preview from Hands-On ROS for Robotics Programming
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Machine Learning with OpenAI Gym
In the previous chapter, we introduced you to the usage of deep learning in order to recognize objects based on a real-time image feed coming from the Raspberry Pi camera. Hence, this provides the robot the ability to take smart actions related to the recognized object. For example, if the object is a ball, the robot could collect it and put it apart so that nobody has an accident by stepping on the ball.
In this chapter, you will be introduced to reinforcement learning (RL), a field of machine learning that, nowadays, is a very active topic of research, having achieved the success of surpassing human performance in some scenarios, as shown in the recent case of the AlphaGo game (https://deepmind.com/blog/article/alphago-zero-starting-scratch ...
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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.