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LunarLander_PPO
AntonDergunov/LunarLander_PPO
LunarLander_PPO is a reinforcement learning model from AntonDergunov. 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 model was trained with PPO using Stable-Baselines3 on LunarLander-v3.
Access
Public
Updated Oct 5, 2025
Repo size
1.4 MB
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0
Public
Repo makeup
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.mp4301 KB · 66%
At a glance
- Task
- Reinforcement Learning
- Library
- Stable-Baselines3
- Access
- Public
- Created
- Sep 13, 2025
- Updated
- Oct 5, 2025
- SHA
- 3a32de6d
Model card
From the Hugging Face model README
AntonDergunov/LunarLander_PPO
This model was trained with PPO using Stable-Baselines3 on LunarLander-v3.
Usage
import gymnasium as gym
from stable_baselines3 import PPO
from huggingface_hub import hf_hub_download
model_path = hf_hub_download(repo_id="AntonDergunov/LunarLander_PPO", filename="model.zip")
model = PPO.load(model_path, device="cpu")
env = gym.make("LunarLander-v3")
obs, info = 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, info = env.reset()
- Task
- Reinforcement Learning
- Library
- Stable-Baselines3
- Created
- Sep 13, 2025
- Updated
- Oct 5, 2025