diff --git a/agents/ppo/agent.py b/agents/ppo/agent.py
index a245bf8..c8aeade 100644
--- a/agents/ppo/agent.py
+++ b/agents/ppo/agent.py
@@ -102,22 +102,22 @@ class Agent:
                 self.critic.optimizer.zero_grad()
                 self.total_loss.backward()
 
-                T.nn.utils.clip_grad_norm_(
-                    self.actor.parameters(), max_norm=2)
-
-                T.nn.utils.clip_grad_norm_(
-                    self.critic.parameters(), max_norm=2)
-
-                # Calculate the gradient norms for both networks
-                actor_grad_norm = T.nn.utils.clip_grad_norm_(
-                    self.actor.parameters(), max_norm=2)
-
-                critic_grad_norm = T.nn.utils.clip_grad_norm_(
-                    self.critic.parameters(), max_norm=2)
-
-                # Log or print the gradient norms
-                print(f"Actor Gradient Norm: {actor_grad_norm}")
-                print(f"Critic Gradient Norm: {critic_grad_norm}")
+                # T.nn.utils.clip_grad_norm_(
+                #     self.actor.parameters(), max_norm=2)
+                #
+                # T.nn.utils.clip_grad_norm_(
+                #     self.critic.parameters(), max_norm=2)
+                #
+                # # Calculate the gradient norms for both networks
+                # actor_grad_norm = T.nn.utils.clip_grad_norm_(
+                #     self.actor.parameters(), max_norm=2)
+                #
+                # critic_grad_norm = T.nn.utils.clip_grad_norm_(
+                #     self.critic.parameters(), max_norm=2)
+                #
+                # # Log or print the gradient norms
+                # print(f"Actor Gradient Norm: {actor_grad_norm}")
+                # print(f"Critic Gradient Norm: {critic_grad_norm}")
 
                 self.actor.optimizer.step()
                 self.critic.optimizer.step()