Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use mark-e/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use mark-e/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="mark-e/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09238999c6df76682b4a6f7f2b901aefe1f3804fd4e8f86ef95baaaba68d566a
- Size of remote file:
- 2.14 kB
- SHA256:
- aabffdad1cd584bbb11367f75d412ea31c7102fd9b24ee0996102d11cb4eb6f6
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