Reinforcement Learning
stable-baselines3
CartPole-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Nerys249/a2c_sb3_cartpole with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Nerys249/a2c_sb3_cartpole with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Nerys249/a2c_sb3_cartpole", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
A2C Agent playing CartPole-v1
This is a trained model of a A2C agent playing CartPole-v1 using the stable-baselines3 library.
Usage (with Stable-baselines3)
TODO: Add your code
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
- Downloads last month
- 9
Evaluation results
- mean_reward on CartPole-v1self-reported94.00 +/- 4.94