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@ -103,8 +103,6 @@ class SquashedDiagGaussianDistribution(DiagGaussianDistribution):
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# Inverse tanh
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# Naive implementation (not stable): 0.5 * torch.log((1 + x ) / (1 - x))
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# We use numpy to avoid numerical instability
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# TODO: store the gaussian action because of the action added
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# this would avoid also inverting the tanh
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if gaussian_action is None:
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gaussian_action = th.from_numpy(np.arctanh(action.cpu().numpy())).to(action.device)
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