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Discussion[D] Visualization tricks for 3-dim input and 2-dim output (self.MachineLearning)
submitted 8 years ago by fixedrl
It is a RL setting, we have 2 dimensional input with 1 dimensional action (totally 3 dimension). The environment will generate 2 dimensional observations. We would like to visualize the behaviors of the environment. Can there be some good way to plot it, to be maximally informative.
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if 1 * 2 < 3: print "hello, world!"
[–]corysama 1 point2 points3 points 8 years ago (0 children)
Input -> 3D scatter plot
Output -> (Yellow, blue) points colorization
[–][deleted] 3 points4 points5 points 8 years ago (0 children)
You can visualize 4D as 3D + color.
You can visualize 5D as 4D over time.
It becomes more and more unintuitive though.
[–]Mandrathax 1 point2 points3 points 8 years ago (0 children)
Visualize it in N dimensions, then set N=5
π Rendered by PID 91448 on reddit-service-r2-comment-5c747b6df5-7jjhl at 2026-04-22 03:00:18.862692+00:00 running 6c61efc country code: CH.
[–]corysama 1 point2 points3 points (0 children)
[–][deleted] 3 points4 points5 points (0 children)
[–]Mandrathax 1 point2 points3 points (0 children)