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Fix typo in documentation (#1177)
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@ -7,7 +7,7 @@ corrupted when a NaN or an inf is given or returned from the RL model.
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How and why?
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------------
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The issue arises then NaNs or infs do not crash, but simply get propagated through the training,
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The issue arises when NaNs or infs do not crash, but simply get propagated through the training,
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until all the floating point number converge to NaN or inf. This is in line with the
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`IEEE Standard for Floating-Point Arithmetic (IEEE 754) <https://ieeexplore.ieee.org/document/4610935>`_ standard, as it says:
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