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:
- a3cb3a848c67f6668b25efd0c1f6273d2a79c72eb912500dbe2dcf875970bc8a
- Size of remote file:
- 56.1 kB
- SHA256:
- d903f22f20df7e413ae3dc3c8942150d84fd6e267773e603f818fb889f66c362
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