April 2019
Intermediate to advanced
212 pages
5h 34m
English
Content preview from Hands-On Q-Learning with Python
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Robotics research and development
Additional Gym environments simulate real-world robotics research projects, such as Fetch and ShadowHand. These robots carry out physical tasks, such as finding and retrieving moving objects and placing them in specified locations. FetchPickAndPlace is shown in the following screenshot:
This set of robotics tasks are created to be significantly more difficult than the MuJoCo tasks. All of the environments are goal-based and designed to be solved using continuous state-space RL models.
In FetchPickAndPlace, a goal is randomly chosen in the 3D space, and the objective of the task is to use the robot arm to ...
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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.