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Problem with AverageReturnMetric #909

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billh0420 opened this issue Jan 4, 2024 · 1 comment
Open

Problem with AverageReturnMetric #909

billh0420 opened this issue Jan 4, 2024 · 1 comment

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@billh0420
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It seems to be necessary to increase the buffer_size for AverageReturnMetric to get better precision.

One would think that increasing buffer_size would only speed up the computation (at a cost of increase memory usage). But this is not the case. Using the default buffer size of 10 yields only an accuracy to one decimal place. I notices this problem when trying to compute the AverageReturnMetric for 100 episodes: the results were always like .50... or .70... etc and never .87000....

If I provide a buffer size of 200, then I get satisfactory results.

@rodolpheAV
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I've seen similar behaviors, as my AverageReturnMetric is very low, the current implementation is not usable on my use case

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