April 2019
Intermediate to advanced
212 pages
5h 34m
English
Content preview from Hands-On Q-Learning with Python
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States and actions in Taxi-v2
So, what are the 500 states that the taxi environment can be in, and what are the actions it can take from those states? Let's take a look at this in action.
You instantiate a taxi environment in OpenAI Gym. In the following screenshot, the small grid underneath the code block is your game environment. The yellow rectangle represents the taxi agent, and the four letters indicate the pickup and drop-off locations for your passengers:
We have a 5 x 5 game grid, which entails the following:
- There are 25 possible spaces for the taxi agent to be in at any time.
- There are 5 locations for the passenger to be in (such ...
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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.