update PolicyGradient

codes/PolicyGradient/model.py

@@ -0,0 +1,27 @@
+#!/usr/bin/env python
+# coding=utf-8
+'''
+Author: John
+Email: johnjim0816@gmail.com
+Date: 2020-11-22 23:18:46
+LastEditor: John
+LastEditTime: 2020-11-23 01:58:22
+Discription: 
+Environment: 
+'''
+import torch.nn as nn
+import torch.nn.functional as F
+class FCN(nn.Module):
+    ''' 全连接网络'''
+    def __init__(self,n_states):
+        super(FCN, self).__init__()
+        # 24和36为hidden layer的层数，可根据n_states, n_actions的情况来改变
+        self.fc1 = nn.Linear(n_states, 24)
+        self.fc2 = nn.Linear(24, 36)
+        self.fc3 = nn.Linear(36, 1)  # Prob of Left
+
+    def forward(self, x):
+        x = F.relu(self.fc1(x))
+        x = F.relu(self.fc2(x))
+        x = F.sigmoid(self.fc3(x))
+        return x