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Hi Denis,
Thanks for your reactive answer 😄
- Ok, it makes sense because, with my current implementation, it happens every 1m step my log probs explode ... (my current
log_std_min
is equal to -20), do you observe a lot of instabilities during training? Which trick did you use to avoid this issue? eg, change log std, bound log std withtanh
and affine translation instead of clipping, change the implementation of SquashedGaussian - Ok, it makes sense!
Thanks for your time
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I've found my answer
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