Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Mtc2/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Mtc2/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Mtc2/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
File size: 168 Bytes
12c22af | 1 | {"mean_reward": -0.12633785363286734, "std_reward": 0.06718704871254316, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-08-12T19:21:53.357973"} |