Fix typo in documentation (#1177)

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Franz Srambical 2022-11-15 15:00:03 +01:00 committed by GitHub
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@ -7,7 +7,7 @@ corrupted when a NaN or an inf is given or returned from the RL model.
How and why?
------------
The issue arises then NaNs or infs do not crash, but simply get propagated through the training,
The issue arises when NaNs or infs do not crash, but simply get propagated through the training,
until all the floating point number converge to NaN or inf. This is in line with the
`IEEE Standard for Floating-Point Arithmetic (IEEE 754) <https://ieeexplore.ieee.org/document/4610935>`_ standard, as it says: