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Implementation of multiplicative compositional policies.
Hi,
in the paper it says: "a linear output layer that produces μi(s) and Σi (s) for each primitive".
However, in the formula to calculate the resulting distribution you have to divide by the variance. So a zero variance would be a problem. And I don't know if a negative variance makes sense?
Hi,
I'm curious about how did you get the corpus of different reference motions in the pre-training part?
Hi, I was curious when the code is packaged up and ready to go.
Thanks!
Do you plan to upload here the code for the mcp paper?
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