Enh/optimizer #6
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mschmidt87
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Jul 31, 2018
| optimizer_mu.step() | ||
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| # manually update sigma | ||
| sigma *= np.exp(learning_rate_sigma / 2. * np.dot(utility, s ** 2 - 1)) |
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Would it make sense here to update log(sigma) with the pytorch-optimizer? Or is that a bad idea due to numerical stability issues?
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This PR introduces pytorch optimizers to snes to update mu of the search distribution. instead of doing plain stochastic gradient descent, this opens the possibility to use any of the optimizers available in pytorch (https://pytorch.org/docs/stable/optim.html)
@mschmidt87 please have a look and let me know your thoughts on this