Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use VinEuro/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use VinEuro/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="VinEuro/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eeaf080503e08b74474fd783e1e3140ec5e1546ea0faad41d2f2e690ddde121d
- Size of remote file:
- 2.39 kB
- SHA256:
- 4b4a68ddb56a9dcb7c822cd7c755ce11eebe0704145d4bc07c97fc3beaa82021
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.