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ppo-LunarLander-v3
subhashmothukuru/ppo-LunarLander-v3
ppo-LunarLander-v3 is a reinforcement learning model from subhashmothukuru. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3.
This is a trained model of a PPO agent playing LunarLander-v3 using the stable-baselines3 library.
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At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Aug 9, 2026
- Updated
- Aug 9, 2026
- SHA
- 0d1ee4e6
Model card
From the Hugging Face model README
PPO Agent playing LunarLander-v3
This is a trained model of a PPO agent playing LunarLander-v3 using the stable-baselines3 library.
Usage (with Stable-baselines3)
import gymnasium as gym from stable_baselines3 import PPO from huggingface_sb3 import load_from_hub
Load trained model from the Hub
checkpoint = load_from_hub( repo_id="subhashmothukuru/ppo-LunarLander-v3", filename="ppo-LunarLander-v3.zip" ) model = PPO.load(checkpoint)
Evaluate the loaded model
env = gym.make("LunarLander-v3") obs, _ = env.reset() for _ in range(1000): action, _ = model.predict(obs, deterministic=True) obs, reward, terminated, truncated, info = env.step(action) if terminated or truncated: obs, _ = env.reset()
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Aug 9, 2026
- Updated
- Aug 9, 2026