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Low Temperature Sampling Improves AI Decision Making Accuracy

I haven’t read the paper but I think the basic idea is that the shots that hit the target tend to be in the mode of the distribution and the shots that miss tend to be in the tails of the distribution, so low temperature sampling discards more bad moves than good

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