2 ms·
I'm not OP, but I think he means that the final decisions acted upon are not deterministic. So given an input, it won't necessarily produce the same decision ev
by bko 8y ago
I'm not OP, but I think he means that the final decisions acted upon are not deterministic. So given an input, it won't necessarily produce the same decision every time.
For instance, if the model predicts with a 95% certainty to accelerate, then 5% of the time it'll do some action other than accelerating.
- mgkimsal 8y agomight it also be 'non-deterministic' if it accelerates 100% of the time, but accelerates at different speeds 5% of the time? or is that too granular a view?