April 2019
Intermediate to advanced
212 pages
5h 34m
English
Content preview from Hands-On Q-Learning with Python
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Iterative probability distributions
We can think of a probability distribution of the likelihood of an event as the distribution we would find if we could conduct infinite trials of the problem and tabulate all the outcomes we saw.
Some commonly-known probability distributions are shown in the following figure. You're probably familiar with the normal (Gaussian) distribution, which is commonly used to model populations in the natural and social sciences and used in many other contexts:
Clearly, in a real-world problem we cannot conduct infinite trials of an experiment. We can conduct a specific number of trials: for example, 100 trials, 1,000 ...
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