Comments (2)
Hello,
The resolution
parameter is only for the agent's observations, it will change the default 84x84
to a square of size resolution x resolution
. It does not impact what you see in the window.
During training you can increase the size of the window by grabbing one of the corner with your mouse (same way you would with any window). Be aware that a bigger window means slower rendering and therefore slower training.
Also keep in mind the window rendering and the agent's observations are asynchronous*, which makes the image jump quite a bit.
You can also play around with the inference
parameter of an environment that will slow down the window rendering, it's made for visualising trained agents but will work during training (only with a single agent). You can then press C
to have a view from the agent's perspective.
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Gotcha, inference=True
did the trick.
Thanks!
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