Updated LeakyReLU to Tanh in hopes of improving performance
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1 changed files with 10 additions and 10 deletions
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@ -59,11 +59,11 @@ class ActorNetwork(nn.Module):
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self.actor = nn.Sequential(
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self.actor = nn.Sequential(
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nn.Linear(input_dim, fc1_dims),
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nn.Linear(input_dim, fc1_dims),
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nn.LeakyReLU(),
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nn.Tanh(),
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nn.Linear(fc1_dims, fc2_dims),
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nn.Linear(fc1_dims, fc2_dims),
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nn.LeakyReLU(),
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nn.Tanh(),
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nn.Linear(fc1_dims, fc2_dims),
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nn.Linear(fc1_dims, fc2_dims),
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nn.LeakyReLU(),
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nn.Tanh(),
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nn.Linear(fc2_dims, output_dim),
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nn.Linear(fc2_dims, output_dim),
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nn.Softmax(dim=-1)
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nn.Softmax(dim=-1)
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)
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)
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@ -99,19 +99,19 @@ class CriticNetwork(nn.Module):
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self.critic = nn.Sequential(
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self.critic = nn.Sequential(
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nn.Linear(input_dims, fc1_dims),
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nn.Linear(input_dims, fc1_dims),
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nn.LeakyReLU(),
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nn.Tanh(),
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nn.Linear(fc1_dims, fc2_dims),
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nn.Linear(fc1_dims, fc2_dims),
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nn.LeakyReLU(),
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nn.Tanh(),
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nn.Linear(fc1_dims, fc2_dims),
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nn.Linear(fc1_dims, fc2_dims),
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nn.LeakyReLU(),
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nn.Tanh(),
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nn.Linear(fc1_dims, fc2_dims),
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nn.Linear(fc1_dims, fc2_dims),
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nn.LeakyReLU(),
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nn.Tanh(),
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nn.Linear(fc1_dims, fc2_dims),
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nn.Linear(fc1_dims, fc2_dims),
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nn.LeakyReLU(),
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nn.Tanh(),
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nn.Linear(fc1_dims, fc2_dims),
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nn.Linear(fc1_dims, fc2_dims),
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nn.LeakyReLU(),
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nn.Tanh(),
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nn.Linear(fc1_dims, fc2_dims),
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nn.Linear(fc1_dims, fc2_dims),
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nn.LeakyReLU(),
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nn.Tanh(),
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nn.Linear(fc2_dims, 1)
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nn.Linear(fc2_dims, 1)
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)
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)
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