Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
fluidgym
active-flow-control
fluid-dynamics
simulation
RBC2D-hard-v0
Eval Results (legacy)
Instructions to use safe-autonomous-systems/ppo-RBC2D-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/ppo-RBC2D-hard-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="safe-autonomous-systems/ppo-RBC2D-hard-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 363ec124a6266b5001658f66b9ddb5af6ffb6d7f2e4667c6cf7f8d9d664f24fe
- Size of remote file:
- 1.94 MB
- SHA256:
- fd93922c99358f54eefcde623fa66f438856479f6ed5702b3a57c41d7ed95706
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