diff --git a/sim/play.py b/sim/play.py
index 3e596a66..7d168e81 100755
--- a/sim/play.py
+++ b/sim/play.py
@@ -22,9 +22,10 @@
 
 from sim.env import run_dir  # noqa: E402
 from sim.envs import task_registry  # noqa: E402
-from sim.model_export import ActorCfg, convert_model_to_onnx  # noqa: E402
+from sim.model_export import ActorCfg, convert_model_to_onnx, get_actor_policy  # noqa: E402
 from sim.utils.helpers import get_args  # noqa: E402
 from sim.utils.logger import Logger  # noqa: E402
+from kinfer.export.pytorch import export_to_onnx
 
 import torch  # isort: skip
 
@@ -81,8 +82,19 @@ def play(args: argparse.Namespace) -> None:
     # export policy as a onnx module (used to run it on web)
     if args.export_onnx:
         path = ppo_runner.alg.actor_critic
-        convert_model_to_onnx(path, ActorCfg(), save_path="policy.onnx")
-        print("Exported policy as onnx to: ", path)
+        policy_cfg = ActorCfg()
+        actor_model, sim2sim_info, input_tensors = get_actor_policy(path, policy_cfg)
+
+        # Merge policy_cfg and sim2sim_info into a single config object
+        export_config = {**vars(policy_cfg), **sim2sim_info}
+
+        policy = export_to_onnx(
+            actor_model,
+            input_tensors=input_tensors,
+            config=export_config,
+            save_path="kinfer_policy.onnx"
+        )
+        print("Exported policy as kinfer-compatible onnx to: ", path)
 
     # Prepare for logging
     env_logger = Logger(env.dt)
diff --git a/sim/requirements.txt b/sim/requirements.txt
index a131c312..53fb29da 100755
--- a/sim/requirements.txt
+++ b/sim/requirements.txt
@@ -11,3 +11,5 @@ wandb
 tensorboard==2.14.0
 onnxscript
 # onnxruntime
+
+kinfer
diff --git a/sim/sim2sim.py b/sim/sim2sim.py
index 829e10cd..42bb0edd 100755
--- a/sim/sim2sim.py
+++ b/sim/sim2sim.py
@@ -21,7 +21,7 @@
 from tqdm import tqdm
 
 from sim.h5_logger import HDF5Logger
-from model_export import ActorCfg, get_actor_policy, convert_model_to_onnx
+from sim.model_export import ActorCfg, get_actor_policy
 from kinfer.export.pytorch import export_to_onnx
 
 
@@ -363,10 +363,8 @@ def new_func(args, policy_cfg):
     if args.load_model.endswith(".onnx"):
         policy = ort.InferenceSession(args.load_model)
     else:
-        # Export function is able to infer input shapes
-        # actor_model = new_func(args, policy_cfg)
-        # actor_model = torch.jit.load(args.load_model)
         actor_model, sim2sim_info, input_tensors = get_actor_policy(args.load_model, policy_cfg)
+
         # Merge policy_cfg and sim2sim_info into a single config object
         export_config = {**vars(policy_cfg), **sim2sim_info}
         print(export_config)
@@ -377,7 +375,7 @@ def new_func(args, policy_cfg):
             save_path="kinfer_test.onnx"
         )
         # policy = convert_model_to_onnx(args.load_model, policy_cfg, save_path="policy.onnx")
-
+    
     model_info = parse_modelmeta(
         policy.get_modelmeta().custom_metadata_map.items(),
         verbose=True,