update
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@@ -5,20 +5,23 @@ Author: John
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Email: johnjim0816@gmail.com
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Date: 2021-03-12 21:14:12
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LastEditor: John
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LastEditTime: 2021-03-12 21:28:46
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LastEditTime: 2021-03-13 11:51:38
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Discription:
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Environment:
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'''
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import torch.nn as nn
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import torch.nn.functional as F
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class MLP(nn.Module):
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''' 全连接网络'''
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def __init__(self,state_dim):
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''' 多层感知机
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输入:state维度
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输出:概率
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'''
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def __init__(self,n_states,hidden_dim = 36):
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super(MLP, self).__init__()
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# 24和36为hidden layer的层数,可根据state_dim, n_actions的情况来改变
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self.fc1 = nn.Linear(state_dim, 36)
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self.fc2 = nn.Linear(36, 36)
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self.fc3 = nn.Linear(36, 1) # Prob of Left
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self.fc1 = nn.Linear(n_states, hidden_dim)
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self.fc2 = nn.Linear(hidden_dim,hidden_dim)
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self.fc3 = nn.Linear(hidden_dim, 1) # Prob of Left
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def forward(self, x):
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x = F.relu(self.fc1(x))
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