October 2019
Intermediate to advanced
366 pages
12h 4m
English
Content preview from Reinforcement Learning Algorithms with Python
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Open source environments
How can we design an environment that meets our requirements? Fortunately, there are many open source environments that are built to tackle specific or broader problems. By way of an example, CoinRun, shown in the following screenshot, was created to measure the generalization capabilities of an algorithm:
Figure 2.9: The CoinRun environment
We will now list some of the main open source environments available. These are created by different teams and companies, but almost all of them use the OpenAI Gym interface:
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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.