Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Anithprakash/RL_Learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Anithprakash/RL_Learning with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Anithprakash/RL_Learning", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download results.json from Anithprakash/RL_Learning: direct link, hf CLI and curl.
- Browser
- Download file 164 Bytes
-
https://huggingface.co/Anithprakash/RL_Learning/resolve/main/results.json
- Command line
-
hf download hf://Anithprakash/RL_Learning/results.json
-
curl -L -o results.json https://huggingface.co/Anithprakash/RL_Learning/resolve/main/results.json
164 Bytes
| {"mean_reward": 275.73396199999996, "std_reward": 19.76668260170407, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-02-16T19:53:01.930536"} |