Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use pratsy/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use pratsy/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="pratsy/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7840e1bd381ceb9e0d1b7b14df1ed30dfe29ffb86b985b70408ef16281163f1c
- Size of remote file:
- 129 kB
- SHA256:
- 5019a3da815776eeca916115758794e8673ebbcd1f2cf5188eb9baa2fa43535f
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