activate environment from executable

ml-agents-envs/mlagents_envs/environment.py

                 "If the environment name is None, "
                 "the worker-id must be 0 in order to connect with the Editor."
             )
-        # if file_name is not None:
-        #     self.executable_launcher(file_name, docker_training, no_graphics, args)
-        # else:
-        #     logger.info(
-        #         f"Listening on port {self.port}. "
-        #         f"Start training by pressing the Play button in the Unity Editor."
-        #     )
+        if file_name is not None:
+            self.executable_launcher(file_name, docker_training, no_graphics, args)
+        else:
+            logger.info(
+                f"Listening on port {self.port}. "
+                f"Start training by pressing the Play button in the Unity Editor."
+            )
         self._loaded = True
 
         rl_init_parameters_in = UnityRLInitializationInputProto(