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:
- 3e3ae010777504318a3136da6fbef396d7aa214740e12babfad66e9e5bf63ada
- Size of remote file:
- 16.1 MB
- SHA256:
- 20f9462d211802259b60b6fecf5c25dbfe34db9d8c6b7585723b18a49791ec66
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