fix

Author: quantumiracle

ppo_continuous_multiprocess.py

@@ -151,9 +151,8 @@ def get_action(self, state, deterministic=False):
         state = torch.FloatTensor(state).unsqueeze(0).to(device)
         mean, log_std = self.forward(state)
         std = log_std.exp()
-        normal = Normal(0, 1)
-        z      = normal.sample() 
-        action  = mean+std*z
+        normal = Normal(mean, std)
+        action = normal.sample() 
         action = torch.clamp(action, -self.action_range, self.action_range)
         return action.squeeze(0)