--- a
+++ b/examples/legacy/round2_submit.py
@@ -0,0 +1,41 @@
+#!/usr/bin/env python
+
+import opensim as osim
+
+from osim.redis.client import Client
+from osim.env import *
+import numpy as np
+import argparse
+import os
+
+"""
+NOTE: For testing your submission scripts, you first need to ensure that redis-server is running in the background
+and you can locally run the grading service by running this script : https://github.com/crowdAI/osim-rl/blob/master/osim/redis/service.py
+
+The client and the grading service communicate with each other by pointing to the same redis server.
+"""
+
+"""
+Please ensure that `visualize=False`, else there might be unexpected errors in your submission
+"""
+env = RunEnv(visualize=False)
+client = Client()
+
+# Create environment
+observation = client.env_create()
+
+"""
+The grader runs N simulations of at most 1000 steps each. We stop after the last one
+A new simulation start when `clinet.env_step` returns `done==True`
+and all the simulatiosn end when the subsequent `client.env_reset()` returns a False
+"""
+while True:
+    _action = env.action_space.sample().tolist()
+    [observation, reward, done, info] = client.env_step(_action)
+    print(observation)
+    if done:
+        observation = client.env_reset()
+        if not observation:
+            break
+
+client.submit()