Update README.md

README.md

@@ -30,39 +30,7 @@ TODO: Add your code
 
 ```python
 
-env_id = "LunarLander-v2"
-model_architecture = "PPO"
-model_name = "ppo-LunarLander-v2"
-
-env = make_vec_env(env_id , n_envs=16)
-
-model = PPO(
-    policy = "MlpPolicy",
-    env = env,
-    n_steps = 1024,
-    batch_size = 64,
-    n_epochs = 4,
-    gamma = 0.999,
-    gae_lambda = 0.98,
-    ent_coef = 0.01,
-    verbose = 0
-)
-
-model.learn(total_timesteps=1_000_000)
-model.save(model_name)
-
-eval_env = DummyVecEnv([lambda: gym.make(env_id)])
-mean_reward, std_reward = evaluate_policy(model, eval_env, n_eval_episodes=10, deterministic=True)
-print(f"mean_reward={mean_reward:.2f} +/- {std_reward}")
-
-package_to_hub(model=model,
-               model_name=model_name,
-               model_architecture=model_architecture,
-               env_id=env_id,
-               eval_env=eval_env,
-               repo_id="29thDay/ppo-LunarLander-v2",
-               commit_message="Upload PPO LunarLander-v2 trained agent"
-)
+# TODO
 
 ...
 ```