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Yes ML is overkill in this case, now test it with sensor noise, track obstacles, and the simple polynomial version might break down



This is a pointless comment that misses the point of the post completely. It says "you _might_ not".

The given example in the opening paragraph describes a scenario where you don't need it.


The parent commenter didn't say that everybody should use ML in all circumstances. Real world tasks are often more complex than invented toy examples, and quite often hand crafted policies don't work so well. And it was not elaborated in the original blog post. So I think it was a valid point.


And doing the track the fastest.




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