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JohnJim0816
2021-03-13 11:51:51 +08:00
parent 4df3169142
commit e522ba5510

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