bug fix on critic input

DDPG.py

@@ -98,7 +98,7 @@ def train(self, replay_buffer, iterations, batch_size=64, discount=0.99, tau=0.0
 			target_Q = reward + (done * discount * target_Q)
 
 			# Get current Q estimate
-			current_Q = self.critic([state, action])
+			current_Q = self.critic(state, action)
 
 			# Compute critic loss
 			critic_loss = self.criterion(current_Q, target_Q)
@@ -131,4 +131,4 @@ def save(self, filename, directory):
 
 	def load(self, filename, directory):
 		self.actor.load_state_dict(torch.load('%s/%s_actor.pth' % (directory, filename)))
-		self.critic.load_state_dict(torch.load('%s/%s_critic.pth' % (directory, filename)))
+		self.critic.load_state_dict(torch.load('%s/%s_critic.pth' % (directory, filename)))