Reinforcement Learning
stable-baselines3
seals/HalfCheetah-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use HumanCompatibleAI/ppo-seals-HalfCheetah-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use HumanCompatibleAI/ppo-seals-HalfCheetah-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="HumanCompatibleAI/ppo-seals-HalfCheetah-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c588b9821afd43457eed980b41a5f5598b518ee25054c65f41a7bf196c541de6
- Size of remote file:
- 168 kB
- SHA256:
- 77c576ac41044d5382692b96adf1f80ae3472aebc68a52e998d86ee1cd88561f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.