Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Huggingfly/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Huggingfly/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Huggingfly/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64f1acd82023941c053a38ea3aa54bb50b5204d7a70bd841616d766edc726c5a
- Size of remote file:
- 2.18 kB
- SHA256:
- 84f97bc41d00f64122c3c5261b0ce1e34f91e177aa464b97fb5fb38f6292eebd
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