Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
fluidgym
active-flow-control
fluid-dynamics
simulation
RBC2D-medium-v0
Eval Results (legacy)
Instructions to use safe-autonomous-systems/ma-ppo-RBC2D-medium-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-RBC2D-medium-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="safe-autonomous-systems/ma-ppo-RBC2D-medium-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4f27f13093e34652de65a569d73b0ced79d0051d5fa2cb2261b8da300ffbb6e
- Size of remote file:
- 1.84 MB
- SHA256:
- ed1b94ac0dabee3af9f19f1d0b2b271a3016952c4b3abb325d77429e7d9ebf7f
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