Instructions to use Aadit-032/ppo-LunarLander-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Aadit-032/ppo-LunarLander-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Aadit-032/ppo-LunarLander-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download results.json from Aadit-032/ppo-LunarLander-v3: direct link, hf CLI and curl.
- Browser
- Download file 163 Bytes
-
https://huggingface.co/Aadit-032/ppo-LunarLander-v3/resolve/a525a4211a4783bf69854e43788ad99ac02eac28/results.json
- Command line
-
hf download hf://Aadit-032/ppo-LunarLander-v3@a525a4211a4783bf69854e43788ad99ac02eac28/results.json
-
curl -L -o results.json https://huggingface.co/Aadit-032/ppo-LunarLander-v3/resolve/a525a4211a4783bf69854e43788ad99ac02eac28/results.json
163 Bytes
| {"mean_reward": 275.36739059683146, "std_reward": 23.18462887441104, "is_deterministic": true, "n_eval_episodes": 3, "eval_datetime": "2026-07-25T15:55:14.012892"} |