Reinforcement Learning
stable-baselines3
BeamRiderNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/ppo-BeamRiderNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/ppo-BeamRiderNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/ppo-BeamRiderNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 910aa2f902d01d35968e73383e10f7f66b8c8f0b24b31c078c3d1ec3505eb780
- Size of remote file:
- 282 kB
- SHA256:
- 17e352747372f2ad31863aea3fe156c9b670c6d026b77dc3a9d09bfd2fad816c
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