Reinforcement Learning
stable-baselines3
seals/HalfCheetah-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use HumanCompatibleAI/ppo-seals-HalfCheetah-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use HumanCompatibleAI/ppo-seals-HalfCheetah-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="HumanCompatibleAI/ppo-seals-HalfCheetah-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download train_eval_metrics.zip from HumanCompatibleAI/ppo-seals-HalfCheetah-v0: direct link, hf CLI and curl.
- Browser
- Download file 33.7 kB
-
https://huggingface.co/HumanCompatibleAI/ppo-seals-HalfCheetah-v0/resolve/main/train_eval_metrics.zip
- Command line
-
hf download hf://HumanCompatibleAI/ppo-seals-HalfCheetah-v0/train_eval_metrics.zip
-
curl -L -o train_eval_metrics.zip https://huggingface.co/HumanCompatibleAI/ppo-seals-HalfCheetah-v0/resolve/main/train_eval_metrics.zip
33.7 kB
- Xet hash:
- 8a48e365129ae433411a1d9ba139ba02c66ee3e13312540da5cb3bcdf0d60b9a
- Size of remote file:
- 33.7 kB
- SHA256:
- 82809eaa34e023f429e8a1d235850136bc38706a350ac1f8ae844e1974f03521
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