Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use hruslen/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use hruslen/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="hruslen/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca9320afc238aa69ec6e3da775d0f1132cbe89e03c70ae5231d025f0de491ed3
- Size of remote file:
- 2.18 kB
- SHA256:
- 949af6d6177ddc5ef5755041ac11eb3c6aa3284480376749a002b2783e1fee97
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