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Set hidden size

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Shangtong Zhang
2017-12-18 20:09:11 -07:00
parent e4c7558726
commit 13533ab2fe
1 changed files with 16 additions and 8 deletions
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network/continuous_action_network.py
+16 -8
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@@ -14,9 +14,9 @@ class DeterministicActorNet(nn.Module, BasicNet):
action_scale,
gpu=False,
batch_norm=False,
non_linear=F.relu):
non_linear=F.relu,
hidden_size=64):
super(DeterministicActorNet, self).__init__()
hidden_size = 64
self.layer1 = nn.Linear(state_dim, hidden_size)
self.layer3 = nn.Linear(hidden_size, action_dim)
self.action_gate = action_gate
@@ -70,9 +70,9 @@ class DeterministicCriticNet(nn.Module, BasicNet):
action_dim,
gpu=False,
batch_norm=False,
non_linear=F.relu):
non_linear=F.relu,
hidden_size=64):
super(DeterministicCriticNet, self).__init__()
hidden_size = 64
self.layer1 = nn.Linear(state_dim, hidden_size)
self.layer2 = nn.Linear(hidden_size + action_dim, hidden_size)
self.layer3 = nn.Linear(hidden_size, 1)
@@ -116,9 +116,15 @@ class DeterministicCriticNet(nn.Module, BasicNet):
return self.forward(x, action)
class GaussianActorNet(nn.Module, BasicNet):
def __init__(self, state_dim, action_dim, action_scale=1.0, action_gate=None, gpu=False, unit_std=True):
def __init__(self,
state_dim,
action_dim,
action_scale=1.0,
action_gate=None,
gpu=False,
unit_std=True,
hidden_size=64):
super(GaussianActorNet, self).__init__()
hidden_size = 64
self.fc1 = nn.Linear(state_dim, hidden_size)
self.fc2 = nn.Linear(hidden_size, hidden_size)
self.action_mean = nn.Linear(hidden_size, action_dim)
@@ -161,9 +167,11 @@ class GaussianActorNet(nn.Module, BasicNet):
return 0.5 * (1 + (2 * std.pow(2) * np.pi + 1e-5).log()).sum(1).mean()
class GaussianCriticNet(nn.Module, BasicNet):
def __init__(self, state_dim, gpu=False):
def __init__(self,
state_dim,
gpu=False,
hidden_size=64):
super(GaussianCriticNet, self).__init__()
hidden_size = 64
self.fc1 = nn.Linear(state_dim, hidden_size)
self.fc2 = nn.Linear(hidden_size, hidden_size)
self.fc_value = nn.Linear(hidden_size, 1)