Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use javiervela/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use javiervela/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="javiervela/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download results.json from javiervela/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 167 Bytes
-
https://huggingface.co/javiervela/a2c-PandaReachDense-v2/resolve/main/results.json
- Command line
-
hf download hf://javiervela/a2c-PandaReachDense-v2/results.json
-
curl -L -o results.json https://huggingface.co/javiervela/a2c-PandaReachDense-v2/resolve/main/results.json
167 Bytes
| {"mean_reward": -1.0675077717169188, "std_reward": 0.17718760708926312, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-08T12:33:33.897879"} |