Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use cointeleporting/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use cointeleporting/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="cointeleporting/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download results.json from cointeleporting/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 158 Bytes
-
https://huggingface.co/cointeleporting/ppo-LunarLander-v2/resolve/1247ebf000f56b5f261f4c24ae2b4c1b55d92500/results.json
- Command line
-
hf download hf://cointeleporting/ppo-LunarLander-v2@1247ebf000f56b5f261f4c24ae2b4c1b55d92500/results.json
-
curl -L -o results.json https://huggingface.co/cointeleporting/ppo-LunarLander-v2/resolve/1247ebf000f56b5f261f4c24ae2b4c1b55d92500/results.json
158 Bytes
| {"mean_reward": 266.8071091, "std_reward": 14.040892867746294, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-08-19T11:01:14.907691"} |