April 2018
Intermediate to advanced
334 pages
10h 18m
English
Content preview from Reinforcement Learning with TensorFlow
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The Epsilon-Greedy approach
The Epsilon-Greedy is a widely used solution to the explore-exploit dilemma. Exploration is all about searching and exploring new options through experimentation and research to generate new values, while exploitation is all about refining existing options by repeating those options and improving their values.
The Epsilon-Greedy approach is very simple to understand and easy to implement:
epsilon() = 0.05 or 0.1 #any small value between 0 to 1#epsilon(
) is the probability of explorationp = random number between 0 and ...
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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.