Reinforcement Learning
stable-baselines3
HopperBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use abcp4/a2c-HopperBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use abcp4/a2c-HopperBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="abcp4/a2c-HopperBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
A2C Agent playing HopperBulletEnv-v0
This is a trained model of a A2C agent playing HopperBulletEnv-v0 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
- 2
Evaluation results
- mean_reward on HopperBulletEnv-v0self-reported150.69 +/- 13.00