diff --git a/src/primaite/notebooks/mp.py b/src/primaite/notebooks/mp.py
deleted file mode 100644
index ebed7122..00000000
--- a/src/primaite/notebooks/mp.py
+++ /dev/null
@@ -1,42 +0,0 @@
-import yaml
-from stable_baselines3 import PPO
-from stable_baselines3.common.utils import set_random_seed
-from stable_baselines3.common.vec_env import SubprocVecEnv
-
-from primaite.session.environment import PrimaiteGymEnv
-
-EPISODE_LEN = 128
-NUM_EPISODES = 10
-NO_STEPS = EPISODE_LEN * NUM_EPISODES
-BATCH_SIZE = 32
-LEARNING_RATE = 3e-4
-
-with open("c:/projects/primaite/src/primaite/config/_package_data/data_manipulation.yaml", "r") as f:
-    cfg = yaml.safe_load(f)
-
-
-def make_env(rank: int, seed: int = 0) -> callable:
-    """Wrapper script for _init function."""
-
-    def _init() -> PrimaiteGymEnv:
-        env = PrimaiteGymEnv(env_config=cfg)
-        env.reset(seed=seed + rank)
-        model = PPO(
-            "MlpPolicy",
-            env,
-            learning_rate=LEARNING_RATE,
-            n_steps=NO_STEPS,
-            batch_size=BATCH_SIZE,
-            verbose=0,
-            tensorboard_log="./PPO_UC2/",
-        )
-        model.learn(total_timesteps=NO_STEPS)
-        return env
-
-    set_random_seed(seed)
-    return _init
-
-
-if __name__ == "__main__":
-    n_procs = 4
-    train_env = SubprocVecEnv([make_env(i + n_procs) for i in range(n_procs)])