October 2019
Intermediate to advanced
366 pages
12h 4m
English
Content preview from Reinforcement Learning Algorithms with Python
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The core
In the paper, a version of ES is used that maximizes the average objective value, as follows:
It does this by searching over a population, 
, that's parameterized by 
with stochastic gradient ascent. 
is the objective function (or fitness function) while is the parameters of the actor. In our problems, is simply the stochastic return that's ...
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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.