Created
November 6, 2019 04:40
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Reinforcement learning - Navigation companion code
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class QNetwork(nn.Module): | |
"""Actor (Policy) Model.""" | |
def __init__(self, state_size, action_size, seed, fc1_units=64, fc2_units=64): | |
super(QNetwork, self).__init__() | |
self.seed = torch.manual_seed(seed) | |
self.fc1 = nn.Linear(state_size, fc1_units) | |
self.fc2 = nn.Linear(fc1_units, fc2_units) | |
self.fc3 = nn.Linear(fc2_units, action_size) | |
def forward(self, state): | |
"""Build a network that maps state -> action values.""" | |
x = F.relu(self.fc1(state)) | |
x = F.relu(self.fc2(x)) | |
return self.fc3(x) |
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