--- a
+++ b/examples/submission.py
@@ -0,0 +1,28 @@
+import opensim as osim
+from osim.http.client import Client
+import numpy as np
+
+# Settings
+remote_base = "http://osim-rl-grader.aicrowd.com/"
+aicrowd_token = "a66245c8324e2d37b92f098a57ef3f99" # use your aicrowd token
+# your aicrowd token (API KEY) can be found at your prorfile page at https://www.aicrowd.com
+
+client = Client(remote_base)
+
+# Create environment
+observation = client.env_create(aicrowd_token, env_id='L2M2019Env')
+
+# IMPLEMENTATION OF YOUR CONTROLLER
+# my_controller = ... (for example the one trained in keras_rl)
+
+while True:
+    #action = my_controller.update(observation)
+    action = [.5]*22
+    [observation, reward, done, info] = client.env_step(action)
+    print(observation)
+    if done:
+        observation = client.env_reset()
+        if not observation:
+            break
+
+client.submit()
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