January 2019
Intermediate to advanced
386 pages
11h 13m
English
book
Python Deep Learning - Second Edition
by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
Content preview from Python Deep Learning - Second Edition
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Control with Sarsa
Sarsa is an on-policy TD control method. Much such as MC control, we'll try to estimate the action-value function in order to find the optimal policy. We'll do this for the same reasons we outlined in the Exploring starts policy improvement section. But this time, we'll follow the blueprint outlined in the preceding section. That is, we'll iterate over multiple episodes and we'll update 
online, after each step of an episode. We can represent this process with a formula, similar to the one in the preceding section, with the exception that it is for the action-value function:
Where for each action of the terminal state. ...
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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.