Reinforcement Learning
stable-baselines3
Pendulum-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use HumanCompatibleAI/ppo-Pendulum-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use HumanCompatibleAI/ppo-Pendulum-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="HumanCompatibleAI/ppo-Pendulum-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a57682cf69dfa6cc08e0549ad3b7fe2bd82a5e8ed930407efb95c6c6d9ab371
- Size of remote file:
- 15.2 kB
- SHA256:
- 690af8420de0d7622537e219353fd187a2691b8cf017e74df2f93166a8b7d477
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.