Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use heriosousa/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use heriosousa/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="heriosousa/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3f459aff8ced4925e57d61649f6818d138d55f08e64bba1e08b8d925c19ac98
- Size of remote file:
- 1.02 MB
- SHA256:
- 668919395459a72d9e6d1e9b1091b6ef0df479a7e581a5dc02b47a5c516f6fd1
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