30 lines
838 B
Python
30 lines
838 B
Python
#!/usr/bin/env python
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# coding=utf-8
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'''
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Author: John
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Email: johnjim0816@gmail.com
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Date: 2021-03-23 16:35:58
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LastEditor: John
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LastEditTime: 2021-03-23 16:36:20
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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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''' 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,state_dim,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, action_dim的情况来改变
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self.fc1 = nn.Linear(state_dim, 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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x = F.relu(self.fc2(x))
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x = F.sigmoid(self.fc3(x))
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return x |