Reinforcement Learning
stable-baselines3
BeamRiderNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/a2c-BeamRiderNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/a2c-BeamRiderNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/a2c-BeamRiderNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e067abbc8b0c9e1c3ddf4a28631268b059f1fbb4160104662c4db0cc8034db5
- Size of remote file:
- 314 kB
- SHA256:
- 11f87e74a751a6ce5894284149ddeaf7e5da176d408e187172f981d58ec12c1c
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