September 2018
Intermediate to advanced
296 pages
9h 10m
English
Content preview from Python Reinforcement Learning Projects
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Value network
The last step of the pipeline involves training a value network to evaluate the board state, or in other words, to determine how favorable a particular board state is for winning the game. Formally speaking, given a particular policy, 
, and state, 
, we would like to predict the expected reward, 
. The network is trained by minimizing the mean-squared error (MSE) between the predicted value, , and the final outcome:
Where are the ...
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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.