April 2019
Intermediate to advanced
212 pages
5h 34m
English
Content preview from Hands-On Q-Learning with Python
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More OpenAI Gym environments
OpenAI Gym has modeled a number of classic control theory problems as RL environments, including the inverted pendulum problem we already worked with in CartPole.
We'll go through some of the more popular environments in the next section. Keep in mind that Gym environments have a shared interface that lets you write generalized algorithms that can potentially be used to solve more than one environment.
You can also create your own environments and upload them to Gym if you carry out the full installation. Instructions are available in the Gym documentation.
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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.