June 2018
Intermediate to advanced
318 pages
9h 24m
English
Content preview from Hands-On Reinforcement Learning with Python
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Monte Carlo methods
The Monte Carlo method finds approximate solutions through random sampling, that is, it approximates the probability of an outcome by running multiple trails. It is a statistical technique to find an approximate answer through sampling. Let's better understand Monte Carlo intuitively with an example.
Fun fact: Monte Carlo is named after Stanislaw Ulam's uncle, who often borrowed money from his relatives to gamble in a Monte Carlo casino.
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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.