Instructions to use kuds/atari-pong-v4-ppo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use kuds/atari-pong-v4-ppo with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="kuds/atari-pong-v4-ppo", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
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# **
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- [Github Repository](https://github.com/kuds/rl-atari-pong)
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- [Google Colab Notebook](https://colab.research.google.com/github/kuds/rl-atari-pong/blob/main/%5BAtari%20Pong%5D%20Single-Agent%20Reinforcement%20Learning%20PPO.ipynb)
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- [Finding Theta - Blog Post](https://www.findingtheta.com/blog/mastering-ataris-pong-with-reinforcement-learning-overcoming-sparse-rewards-and-optimizing-performance)
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# **PPO** Agent playing **PongNoFrameskip-v4**
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- [Github Repository](https://github.com/kuds/rl-atari-pong)
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- [Google Colab Notebook](https://colab.research.google.com/github/kuds/rl-atari-pong/blob/main/%5BAtari%20Pong%5D%20Single-Agent%20Reinforcement%20Learning%20PPO.ipynb)
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- [Finding Theta - Blog Post](https://www.findingtheta.com/blog/mastering-ataris-pong-with-reinforcement-learning-overcoming-sparse-rewards-and-optimizing-performance)
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