Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
fluidgym
active-flow-control
fluid-dynamics
simulation
CylinderJet2D-easy-v0
Eval Results (legacy)
Instructions to use safe-autonomous-systems/ppo-CylinderJet2D-easy-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-CylinderJet2D-easy-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="safe-autonomous-systems/ppo-CylinderJet2D-easy-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41d43acec65192daedd23a3c6f7cf2853aa962f2df61c6c6ce48c3c27bf644e4
- Size of remote file:
- 612 kB
- SHA256:
- 013fde3dd29068e6622c685e9af89a3c5054cea74da41aeacb303e9eedddd7b2
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