Introduction to Q-Learning for Game Play (12.2)

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Q-Learning is a powerful AI technique that can build a policy table that suggests an optimal action for the current state of an environment. This video introduces Q-Learning for Python to eventually be used with Keras.

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  1. Jeff Heaton
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Комментарии
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If I had a professor like you when I was a student, I could be a person like Linus Torvalds. 👍

GHRyu-pvcp
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Great video, you turned it simple to understand.

samuelteixeiras
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can't get the video to display when running locally.. any advice? cheers

rahimnealyakoob
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Hi Jeff, I just want to bring it to your attention that the reward for this game is actually always -1. It's because... If you insert reward=-1 in the run_game function, the algorithm behaves in similar manner. So how come it works with no discriminatory action?

Titu-zu
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If any of you face the following error from the introducing the mountain car cell run,

add these two code cells before it.

!sudo apt update

!sudo apt-get install xvfb

It will work.

sungminkim