30 lines
871 B
Python
30 lines
871 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: 2020-06-14 11:23:04
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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 FCN(nn.Module):
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def __init__(self, n_states=4, n_actions=18):
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"""
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Initialize a deep Q-learning network for testing algorithm
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n_states: number of features of input.
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n_actions: number of action-value to output, one-to-one correspondence to action in game.
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"""
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super(FCN, self).__init__()
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self.fc1 = nn.Linear(n_states, 128)
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self.fc2 = nn.Linear(128, 128)
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self.fc3 = nn.Linear(128, n_actions)
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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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return self.fc3(x) |