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easy-rl/codes/DoubleDQN/model.py
2020-12-22 16:07:09 +08:00

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#!/usr/bin/env python
# coding=utf-8
'''
@Author: John
@Email: johnjim0816@gmail.com
@Date: 2020-06-12 00:47:02
@LastEditor: John
LastEditTime: 2020-08-19 16:55:54
@Discription:
@Environment: python 3.7.7
'''
import torch.nn as nn
import torch.nn.functional as F
class FCN(nn.Module):
def __init__(self, n_states=4, n_actions=18):
""" 初始化q网络为全连接网络
n_states: 输入的feature即环境的state数目
n_actions: 输出的action总个数
"""
super(FCN, self).__init__()
self.fc1 = nn.Linear(n_states, 128) # 输入层
self.fc2 = nn.Linear(128, 128) # 隐藏层
self.fc3 = nn.Linear(128, n_actions) # 输出层
def forward(self, x):
# 各层对应的激活函数
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
return self.fc3(x)