Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use EdithKim/a2c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use EdithKim/a2c with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="EdithKim/a2c", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download results.json from EdithKim/a2c: direct link, hf CLI and curl.
- Browser
- Download file 168 Bytes
-
https://huggingface.co/EdithKim/a2c/resolve/main/results.json
- Command line
-
hf download hf://EdithKim/a2c/results.json
-
curl -L -o results.json https://huggingface.co/EdithKim/a2c/resolve/main/results.json
168 Bytes
| {"mean_reward": -0.18391927843913436, "std_reward": 0.09886629047145956, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-11-23T06:28:42.001623"} |