Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
fluidgym
active-flow-control
fluid-dynamics
simulation
RBC2D-easy-v0
Eval Results (legacy)
Instructions to use safe-autonomous-systems/ppo-RBC2D-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-RBC2D-easy-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="safe-autonomous-systems/ppo-RBC2D-easy-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f96873b81aebd53628c1a7ffaa98febbe377cf4060daa5c5c5fbdc1b771c4eb
- Size of remote file:
- 1.94 MB
- SHA256:
- f8450c556995373967eee905855df433f564c9a2709b0e970dce0b23664ba41a
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