September 2018
Intermediate to advanced
288 pages
7h 38m
English
book
Keras Reinforcement Learning Projects
by Giuseppe Ciaburro, Sudharsan Ravichandiran, Suriyadeepan Ramamoorthy
Content preview from Keras Reinforcement Learning Projects
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One-dimensional random walk
In a one-dimensional random walk, we study the motion of a point-like particle that is constrained to move along a straight line in one of only two directions (right and left). For each (random) movement, it can move one step to the right with a fixed probability p or to the left with a q probability. Each step is of equal length, and is independent of the others, as shown in the following diagram:
The position of the point after n steps—identified by its abscissa, X(n)—obviously contains a random term. We want to calculate the probability after n movements that the particle will return to the starting point (it ...
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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.