dfce06801e1a85d6d06f1fdd4475dacd-AuthorFeedback.pdf

Werestructured the textsuch that the NSM isbetter and earlier introduced inthe main text, add derivation7 details and provide the experimental results. Previously unexplained terms (e.g., the offset parameter to the noise)8 are now elaborated. We have not attempted NSMs in a (deep) RL framework as we are not aware of convincing9 theoretical/practical work on successful deep RL with binary neural networks. Reviewer 2 Abbreviation SNN (Stochastic Neural Network) was changed to StNN. We suggest "Inherent Weight17 Normalization inStochastic Neural Networks" asalessconfusing title.