op buffer

ml-agents/mlagents/trainers/policy/transfer_policy.py

                 reuse_encoder,
             )
 
-            self.action_encoder = self.current_action  # self._create_action_encoder(
-            #                self.current_action,
-            #                self.h_size,
-            #                self.action_feature_size,
-            #                action_layers,
-            #            )
+            self.action_encoder = self._create_action_encoder(
+                self.current_action,
+                self.h_size,
+                self.action_feature_size,
+                action_layers,
+            )
 
             if not reuse_encoder:
                 self.targ_encoder = tf.stop_gradient(self.targ_encoder)