Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ShreyasM/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ShreyasM/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ShreyasM/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 507d9a90b28dcfa37077ea8e689438081c55f4868703a3faaa29b040f20eb482
- Size of remote file:
- 2.13 kB
- SHA256:
- f1030b87b9610abcd8e5c90687438ff55b73f036718b030c77d72e98300d5775
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