Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
fluidgym
active-flow-control
fluid-dynamics
simulation
CylinderJet3D-easy-v0
Eval Results (legacy)
Instructions to use safe-autonomous-systems/ppo-CylinderJet3D-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-CylinderJet3D-easy-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="safe-autonomous-systems/ppo-CylinderJet3D-easy-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33500c9af2742f29fcaecdcc7696cabfd2947ff7bbaf045402145f4419002136
- Size of remote file:
- 278 kB
- SHA256:
- 8d6c3448510686fcc8a26fb5370a99fe43a409310828361cd958192d16821735
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