Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Krish2002/LunarLandingbase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Krish2002/LunarLandingbase with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Krish2002/LunarLandingbase", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download results.json from Krish2002/LunarLandingbase: direct link, hf CLI and curl.
- Browser
- Download file 163 Bytes
-
https://huggingface.co/Krish2002/LunarLandingbase/resolve/main/results.json
- Command line
-
hf download hf://Krish2002/LunarLandingbase/results.json
-
curl -L -o results.json https://huggingface.co/Krish2002/LunarLandingbase/resolve/main/results.json
163 Bytes
| {"mean_reward": 281.236899274819, "std_reward": 15.493060711761641, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-01T18:33:30.241728"} |