April 2019
Intermediate to advanced
212 pages
5h 34m
English
Content preview from Hands-On Q-Learning with Python
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Demystifying MDPs
The technical purpose of Q-learning is to discover solutions for a type of optimization problem called an MDP.
When we talk about states and the actions that we can take from states, we are discussing concepts developed in the context of MDPs (and the Markov chains and other state space models that they are derived from).
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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.