Will get 0 reward, which is basically learning to prevent falling on it's head. The more actions the walker can use, the worse the reward.
This is because the walker tries to generate movement by trembling with it's legs. The covered distance doesn't cover the punishment for doing actions. So after 1600 moves the walker will get a reward arounf -60
This is because the walker tries to generate movement by trembling with it's legs. The covered distance doesn't cover the punishment for doing actions. So after 1600 moves the walker will get a reward around -60.

## How it works
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@@ -61,6 +61,6 @@ We use Windows, Anaconda and Python 3.7 \