Reinforcement Learning
stable-baselines3
BreakoutNoFrameskip-v4
ppo
deep-rl
atari
Eval Results (legacy)
Instructions to use pkalkman/ppo-BreakoutNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use pkalkman/ppo-BreakoutNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="pkalkman/ppo-BreakoutNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
PPO Agent playing BreakoutNoFrameskip-v4
This is a trained model of a PPO agent playing BreakoutNoFrameskip-v4.
To learn to use this model and train yours, check the Deep Reinforcement Learning Course on Hugging Face.
- Downloads last month
- 18
Evaluation results
- Mean Reward on BreakoutNoFrameskip-v4self-reported50.40 +/- 21.44