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:
- e8c008774bec6ea8b8b35fd9babfa115af0cd58af1c9a804f530b2be2a963d37
- Size of remote file:
- 8.84 MB
- SHA256:
- 966d9253a8b5475e5d100f965dff496da6ca2e9620824b960265c398ea8789d7
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