Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jpopham91/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jpopham91/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jpopham91/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download results.json from jpopham91/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 166 Bytes
-
https://huggingface.co/jpopham91/a2c-PandaReachDense-v2/resolve/main/results.json
- Command line
-
hf download hf://jpopham91/a2c-PandaReachDense-v2/results.json
-
curl -L -o results.json https://huggingface.co/jpopham91/a2c-PandaReachDense-v2/resolve/main/results.json
166 Bytes
| {"mean_reward": -2.2584439531899987, "std_reward": 0.4681074028919065, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-01-18T01:40:59.566346"} |