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Update README.md

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@@ -30,8 +30,32 @@ TODO: Add your code
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  ```python
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- from stable_baselines3 import ...
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- from huggingface_sb3 import load_from_hub
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- ...
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```python
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+ import gymnasium as gym
 
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+ from stable_baselines3 import PPO
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+ from stable_baselines3.common.env_util import make_vec_env
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+ from stable_baselines3.common.evaluation import evaluate_policy
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+ from stable_baselines3.common.monitor import Monitor
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+
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+ env = make_vec_env('LunarLander-v2', n_envs=16)
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+
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+ model = PPO(
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+ policy='MlpPolicy',
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+ env=env,
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+ n_steps=1024,
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+ batch_size=64,
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+ n_epochs=4,
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+ gamma=0.999,
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+ gae_lambda=0.98,
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+ ent_coef=0.01,
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+ verbose=1)
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+
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+ model.learn(total_timesteps=1000000)
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+ model_name = "ppo-LunarLander-v2"
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+ model.save(model_name)
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+
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+
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+ eval_env = Monitor(gym.make("LunarLander-v2"))
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+ mean_reward, std_reward = evaluate_policy(model, eval_env, n_eval_episodes=10, deterministic=True)
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+ print(f"mean_reward={mean_reward:.2f} +/- {std_reward}")
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+ ```