Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
fluidgym
active-flow-control
fluid-dynamics
simulation
RBC3D-hard-v0
Eval Results (legacy)
Instructions to use safe-autonomous-systems/ma-ppo-RBC3D-hard-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-ppo-RBC3D-hard-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="safe-autonomous-systems/ma-ppo-RBC3D-hard-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0c71c87846d04a2aba4c52971e3181853d04266e2709e5b5fca588e98230480
- Size of remote file:
- 622 kB
- SHA256:
- 951f0af27b7ea846a530d03287adddbb4065889cd0c9f300bd3f97b42908aaf6
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