diff --git a/ml-agents/mlagents/trainers/sac/optimizer_torch.py b/ml-agents/mlagents/trainers/sac/optimizer_torch.py
index 81a7997df6..f5f89d30ec 100644
--- a/ml-agents/mlagents/trainers/sac/optimizer_torch.py
+++ b/ml-agents/mlagents/trainers/sac/optimizer_torch.py
@@ -159,10 +159,7 @@ def __init__(self, policy: TorchPolicy, trainer_params: TrainerSettings):
             requires_grad=True,
         )
         _cont_log_ent_coef = torch.nn.Parameter(
-            torch.log(
-                torch.as_tensor([self.init_entcoef] * self._action_spec.continuous_size)
-            ),
-            requires_grad=True,
+            torch.log(torch.as_tensor([self.init_entcoef])), requires_grad=True
         )
         self._log_ent_coef = TorchSACOptimizer.LogEntCoef(
             discrete=_disc_log_ent_coef, continuous=_cont_log_ent_coef
@@ -426,7 +423,7 @@ def sac_entropy_loss(
                 )
             # We update all the _cont_ent_coef as one block
             entropy_loss += -1 * ModelUtils.masked_mean(
-                torch.mean(_cont_ent_coef) * target_current_diff, loss_masks
+                _cont_ent_coef * target_current_diff, loss_masks
             )
 
         return entropy_loss