Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use misza222/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use misza222/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="misza222/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8263e0f3fc96a098a5af90c5c7b63f850b48eb436389a28f6994148d56ad451
- Size of remote file:
- 2.14 kB
- SHA256:
- 62d07a3e244ee719cad2a6df499365ccb4991fb01afb64e4d74e5fa8f507b96f
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