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https://issues.apache.org/jira/browse/MXNET-560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan reassigned MXNET-560:
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Assignee: Lin Yuan
> Adding a temperature parameter in Softmax and SoftmaxOutput operator
> --------------------------------------------------------------------
>
> Key: MXNET-560
> URL: https://issues.apache.org/jira/browse/MXNET-560
> Project: Apache MXNet
> Issue Type: New Feature
> Reporter: Lin Yuan
> Assignee: Lin Yuan
> Priority: Major
> Time Spent: 12h 40m
> Remaining Estimate: 0h
>
> MXNet does not appear to have a native temperature parameter in its softmax
> functions. I would like this to be added, as it has many useful applications
> when learning a categorical probability distribution, especially in a
> reinforcement learning setting. Should default to 1 to reproduce current
> behavior.
> [https://en.wikipedia.org/wiki/Softmax_function#Reinforcement_learning]
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