Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Winmodel/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Winmodel/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Winmodel/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3ecef77900d0c0941bec17bc72684f02b3847ee7c9b869928194fc59b33fa17
- Size of remote file:
- 2.6 kB
- SHA256:
- 69950d5114ed45c6fcc4e20b9bc7e37aede113d70e2d936300ead04e194efb4e
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