--- a
+++ b/submission/submit.py
@@ -0,0 +1,39 @@
+from submission.baselines.common.vec_env.vec_normalize import VecNormalize
+from submission.baselines.common.vec_env.dummy_vec_env import DummyVecEnv
+import submission.baselines.ppo2.ppo2 as ppo2
+import submission.baselines.ppo2.policies as policies
+from submission.submit_env import make_submit_env
+from submission.baselines.logger import configure
+from submission.baselines.common import set_global_seeds
+
+import tensorflow as tf
+
+
+def submit(num_timesteps, seed):
+    config = tf.ConfigProto()
+    config.gpu_options.allow_growth = True
+
+    set_global_seeds(seed)
+    with tf.Session(config=config):
+        env = DummyVecEnv([make_submit_env])
+        env = VecNormalize(env)
+        ppo2.learn(policy=policies.MlpPolicy,
+                   env=env,
+                   nsteps=10000,
+                   nminibatches=16,
+                   lam=0.95,
+                   gamma=0.99,
+                   noptepochs=5,
+                   log_interval=1,
+                   vf_coef=0.5,
+                   ent_coef=0.0,
+                   lr=3e-4,
+                   cliprange=0.2,
+                   save_interval=10,
+                   load_path="./logs/course_7/00036",
+                   total_timesteps=num_timesteps
+                   )
+
+if __name__ == '__main__':
+    configure(dir="./logs")
+    submit(int(1e6), 60730)