30 lines
873 B
Python
30 lines
873 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: 2020-06-12 00:47:02
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@LastEditor: John
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LastEditTime: 2020-08-19 16:55:54
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@Discription:
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@Environment: python 3.7.7
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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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def __init__(self, n_states=4, n_actions=18):
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""" 初始化q网络，为全连接网络
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n_states: 输入的feature即环境的state数目
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n_actions: 输出的action总个数
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"""
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super(MLP, self).__init__()
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self.fc1 = nn.Linear(n_states, 128) # 输入层
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self.fc2 = nn.Linear(128, 128) # 隐藏层
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self.fc3 = nn.Linear(128, n_actions) # 输出层
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def forward(self, x):
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# 各层对应的激活函数
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x = F.relu(self.fc1(x))
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x = F.relu(self.fc2(x))
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return self.fc3(x) |