Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
fluidgym
active-flow-control
fluid-dynamics
simulation
RBC3D-medium-v0
Eval Results (legacy)
Instructions to use safe-autonomous-systems/ma-sac-RBC3D-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/ma-sac-RBC3D-medium-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="safe-autonomous-systems/ma-sac-RBC3D-medium-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 110948b9d150bf49495f0069ea1059291b794c61ebbebd8133abf5d3212a6db0
- Size of remote file:
- 700 kB
- SHA256:
- 390d017404692e81a86f670168780d370cc5265a5d4ad83a8d0d77239cb3b308
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