Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Random10xDev/PPO-LunarLander-Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Random10xDev/PPO-LunarLander-Test with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Random10xDev/PPO-LunarLander-Test", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download results.json from Random10xDev/PPO-LunarLander-Test: direct link, hf CLI and curl.
- Browser
- Download file 157 Bytes
-
https://huggingface.co/Random10xDev/PPO-LunarLander-Test/resolve/main/results.json
- Command line
-
hf download hf://Random10xDev/PPO-LunarLander-Test/results.json
-
curl -L -o results.json https://huggingface.co/Random10xDev/PPO-LunarLander-Test/resolve/main/results.json
157 Bytes
| {"mean_reward": 275.8543958, "std_reward": 17.29668242847691, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-01-29T16:02:22.986088"} |