Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
fluidgym
active-flow-control
fluid-dynamics
simulation
RBC2D-medium-v0
Eval Results (legacy)
Instructions to use safe-autonomous-systems/sac-RBC2D-medium-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use safe-autonomous-systems/sac-RBC2D-medium-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="safe-autonomous-systems/sac-RBC2D-medium-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e49b562eb665bc213a5b3490fa9f22d3e5bbc6c38e7c0bef335764e0460c02f7
- Size of remote file:
- 16.1 MB
- SHA256:
- 9bc4cc7620a586667b400b5820a29d3d029121078dc2a26023d59ea559690c47
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