April 2019
Intermediate to advanced
212 pages
5h 34m
English
Content preview from Hands-On Q-Learning with Python
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Building further on DQNs
There are several improvements and additions to deep Q-networks that are worth exploring broadly here. We won't be working with these algorithms directly in this chapter, but this is a good starting point for finding ways to improve the performance of the DQNs you've built so far.
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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.