update

codes/PolicyGradient/model.py

@@ -5,21 +5,22 @@ Author: John
 Email: johnjim0816@gmail.com
 Date: 2021-03-23 16:35:58
 LastEditor: John
-LastEditTime: 2021-03-23 16:36:20
+LastEditTime: 2021-12-21 23:21:26
 Discription: 
 Environment: 
 '''
 import torch.nn as nn
 import torch.nn.functional as F
 class MLP(nn.Module):
+    
     ''' 多层感知机
         输入：state维度
         输出：概率
     '''
-    def __init__(self,state_dim,hidden_dim = 36):
+    def __init__(self,input_dim,hidden_dim = 36):
         super(MLP, self).__init__()
-        # 24和36为hidden layer的层数，可根据state_dim, action_dim的情况来改变
-        self.fc1 = nn.Linear(state_dim, hidden_dim)
+        # 24和36为hidden layer的层数，可根据input_dim, action_dim的情况来改变
+        self.fc1 = nn.Linear(input_dim, hidden_dim)
         self.fc2 = nn.Linear(hidden_dim,hidden_dim)
         self.fc3 = nn.Linear(hidden_dim, 1)  # Prob of Left