Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/ddpg-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/ddpg-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/ddpg-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download train_eval_metrics.zip from sb3/ddpg-AntBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 51.4 kB
-
https://huggingface.co/sb3/ddpg-AntBulletEnv-v0/resolve/main/train_eval_metrics.zip
- Command line
-
hf download hf://sb3/ddpg-AntBulletEnv-v0/train_eval_metrics.zip
-
curl -L -o train_eval_metrics.zip https://huggingface.co/sb3/ddpg-AntBulletEnv-v0/resolve/main/train_eval_metrics.zip
51.4 kB
- Xet hash:
- 9e1f0343d8d056ffd8928c38ce412fc94baa6b1f0db9143c8e979a7c345589d7
- Size of remote file:
- 51.4 kB
- SHA256:
- 5e179017aeb8d84d73c4b416f8da1cdfd6c648aa216fa1671610b24965eb075e
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