Instructions to use Louisdlms/a2c-CartPole-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Louisdlms/a2c-CartPole-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Louisdlms/a2c-CartPole-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
A2C CartPole-v1
This repository contains a Stable Baselines3 implementation of the Advantage Actor-Critic (A2C) algorithm trained on the CartPole-v1 environment. The model was trained for 100,000 timesteps and evaluated over 100 episodes.
Video Preview
Direct link: https://huggingface.co/Louisdlms/a2c-CartPole-v1/resolve/main/videos/cartpole_result.mp4
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