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:
- c2e7e1280242ea1b5b08c3d75aa84db391b56dd4664239acae80ce6c28cf9bbc
- Size of remote file:
- 13.7 MB
- SHA256:
- ddf32c40a179a6d691b0e8c9bab73bae7638dea99d98b806c6580f42fbf8292c
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