Reinforcement Learning
stable-baselines3
BreakoutNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ibadrehman/dqn-BreakoutNoFrameskip-v4-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ibadrehman/dqn-BreakoutNoFrameskip-v4-100k with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ibadrehman/dqn-BreakoutNoFrameskip-v4-100k", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 270a78b08041fdb913016afdd048aa7db9510afa205a1dbe0dd817c4645ccce4
- Size of remote file:
- 687 Bytes
- SHA256:
- f1e067afe9912f3dd1b7925918b8cbe439229f6008e572c9c7e431ae731419f1
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