diff --git a/scripts/reinforcement_learning/rsl_rl/play.py b/scripts/reinforcement_learning/rsl_rl/play.py
index 7270610..3e387c3 100644
--- a/scripts/reinforcement_learning/rsl_rl/play.py
+++ b/scripts/reinforcement_learning/rsl_rl/play.py
@@ -27,7 +27,6 @@ from isaaclab.app import AppLauncher
 # local imports
 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
 import cli_args
-from rl_utils import camera_follow
 
 # add argparse arguments
 parser = argparse.ArgumentParser(description="Train an RL agent with RSL-RL.")
@@ -91,7 +90,11 @@ from isaaclab.envs import (
 from isaaclab.managers import ObservationTermCfg as ObsTerm
 from isaaclab.utils.assets import retrieve_file_path
 from isaaclab.utils.dict import print_dict
-from isaaclab.utils.pretrained_checkpoint import get_published_pretrained_checkpoint
+try:
+    from isaaclab.utils.pretrained_checkpoint import get_published_pretrained_checkpoint
+except ModuleNotFoundError:
+    # Isaac Lab 2.3.x and earlier keep this helper under isaaclab_rl.
+    from isaaclab_rl.utils.pretrained_checkpoint import get_published_pretrained_checkpoint
 from isaaclab_rl.rsl_rl import RslRlOnPolicyRunnerCfg, RslRlVecEnvWrapper, export_policy_as_jit, export_policy_as_onnx
 from isaaclab_tasks.utils import get_checkpoint_path
 from isaaclab_tasks.utils.hydra import hydra_task_config
@@ -99,6 +102,8 @@ from isaaclab_tasks.utils.hydra import hydra_task_config
 import rl_training
 import rl_training.tasks  # noqa: F401
 
+from rl_utils import camera_follow
+
 print(f"[INFO] Using rl_training package from: {rl_training.__file__}")