Create README.md

README.md

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+---
+tags:
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+- LunarLander-v2
+model-index:
+- name: PPO
+  results:
+  - task:
+      type: reinforcement-learning
+      name: LunarLander-v2
+    dataset:
+      name: LunarLander-v2
+      type: LunarLander-v2
+    metrics:
+      - type: mean_reward
+        value: 273 +/- 9.50  # <--- 请修改这里的数字：你的均值 +/- 你的标准差
+        name: mean_reward
+---
+
+# PPO Agent for LunarLander-v3 (Optimized)
+
+This is a pre-trained model for **LunarLander-v3** using Stable-Baselines3.
+
+## Usage
+
+```python
+import gymnasium as gym
+from stable_baselines3 import PPO
+from stable_baselines3.common.env_util import make_vec_env
+from stable_baselines3.common.vec_env import VecNormalize
+
+# Load the environment
+env = make_vec_env("LunarLander-v3", n_envs=1)
+env = VecNormalize.load("vec_normalize.pkl", env)
+env.training = False
+env.norm_reward = False
+
+# Load the model
+model = PPO.load("ppo_lunar_optimized", env=env)