diff --git a/lerobot/common/policies/sac/modeling_sac.py b/lerobot/common/policies/sac/modeling_sac.py
index f3eb8e946..f78667146 100644
--- a/lerobot/common/policies/sac/modeling_sac.py
+++ b/lerobot/common/policies/sac/modeling_sac.py
@@ -112,7 +112,6 @@ class SACPolicy(
 
         self.critic_ensemble = torch.compile(self.critic_ensemble)
         self.critic_target = torch.compile(self.critic_target)
-
         self.actor = Policy(
             encoder=encoder_actor,
             network=MLP(input_dim=encoder_actor.output_dim, **asdict(config.actor_network_kwargs)),
diff --git a/lerobot/scripts/server/actor_server.py b/lerobot/scripts/server/actor_server.py
index b388f62e6..c76dc003d 100644
--- a/lerobot/scripts/server/actor_server.py
+++ b/lerobot/scripts/server/actor_server.py
@@ -231,7 +231,6 @@ def act_with_policy(
         cfg=cfg.policy,
         env_cfg=cfg.env,
     )
-    policy = torch.compile(policy)
     assert isinstance(policy, nn.Module)
 
     obs, info = online_env.reset()
diff --git a/lerobot/scripts/server/learner_server.py b/lerobot/scripts/server/learner_server.py
index 2334d2e08..0a1b0a776 100644
--- a/lerobot/scripts/server/learner_server.py
+++ b/lerobot/scripts/server/learner_server.py
@@ -285,9 +285,7 @@ def add_actor_information_and_train(
         # ds_meta=cfg.dataset,
         env_cfg=cfg.env,
     )
-
-    # compile policy
-    policy = torch.compile(policy)
+ 
     assert isinstance(policy, nn.Module)
     policy.train()