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/ma-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/ma-sac-RBC2D-medium-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="safe-autonomous-systems/ma-sac-RBC2D-medium-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5030b51bbbb2e290a5a58e0cd641d8280ad34ab184502998c19ba25a1de1821
- Size of remote file:
- 15 MB
- SHA256:
- fb78b4c50dea346d6f1aa4e634c026ad92e16452f0998c3e3e0981f6a361e8b6
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