Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use NeoCodes-dev/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use NeoCodes-dev/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="NeoCodes-dev/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9676519ede6966fed554903cd3661831b00f9cb55ae4edd5ba8234cde05691b7
- Size of remote file:
- 1.02 MB
- SHA256:
- 94dcb686502abb466ca798ff969e975f97bf6db3180b3839d4b52f07932b4d85
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