Reinforcement Learning
stable-baselines3
HalfCheetahBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/ddpg-HalfCheetahBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/ddpg-HalfCheetahBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/ddpg-HalfCheetahBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download train_eval_metrics.zip from sb3/ddpg-HalfCheetahBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 47.5 kB
-
https://huggingface.co/sb3/ddpg-HalfCheetahBulletEnv-v0/resolve/main/train_eval_metrics.zip
- Command line
-
hf download hf://sb3/ddpg-HalfCheetahBulletEnv-v0/train_eval_metrics.zip
-
curl -L -o train_eval_metrics.zip https://huggingface.co/sb3/ddpg-HalfCheetahBulletEnv-v0/resolve/main/train_eval_metrics.zip
47.5 kB
- Xet hash:
- c99e938e0d85339e6dd8168640df82497735b44cccaff0a9f93e206f2824b24d
- Size of remote file:
- 47.5 kB
- SHA256:
- d36aa3ba5f3db0e47a5ffdc241dc0c65e076bdb5438b9ebd82b118e17558707c
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