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Smooth Exploration #6
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sheim
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Mostly just code style comments for now : )
learning/modules/smooth_actor.py
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| return ( | ||
| torch.ones(self.latent_dim, self.num_actions).to(self.log_std.device) * std | ||
| ) | ||
| return torch.ones(self.latent_dim, 1).to(self.log_std.device) * std |
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I need to double check this. It could be a bug in stable-baselines, since how they had it it seems the number of parameters was not reduced (by default it has shape (latent_dim, num_actions)).
run 200 iterations before starting training, to burn in normalization
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