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Relax the HardTanh limit

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Antonin Raffin 2019-12-19 15:28:51 +01:00
parent a5c3418765
commit 84ebc3d7da
1 changed files with 1 additions and 1 deletions
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torchy_baselines/sac/policies.py
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@ -51,7 +51,7 @@ class Actor(BaseNetwork):
# Avoid saturation by limiting the mean of the gaussian to be in [-1, 1]
# self.mu = nn.Sequential(self.mu, nn.Tanh())
# TODO: test with small positive slope to have non zero gradient
self.mu = nn.Sequential(self.mu, nn.Hardtanh(min_val=-2.0, max_val=2.0))
self.mu = nn.Sequential(self.mu, nn.Hardtanh(min_val=-3.0, max_val=3.0))
else:
self.action_dist = SquashedDiagGaussianDistribution(action_dim)
self.mu = nn.Linear(net_arch[-1], action_dim)