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/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/ppo-RBC2D-medium-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="safe-autonomous-systems/ppo-RBC2D-medium-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download 1/test/temperature_test_eval_episode_0.gif from safe-autonomous-systems/ppo-RBC2D-medium-v0: direct link, hf CLI and curl.
- Browser
- Download file 2.05 MB
-
https://huggingface.co/safe-autonomous-systems/ppo-RBC2D-medium-v0/resolve/main/1/test/temperature_test_eval_episode_0.gif
- Command line
-
hf download hf://safe-autonomous-systems/ppo-RBC2D-medium-v0/1/test/temperature_test_eval_episode_0.gif
-
curl -L -o temperature_test_eval_episode_0.gif https://huggingface.co/safe-autonomous-systems/ppo-RBC2D-medium-v0/resolve/main/1/test/temperature_test_eval_episode_0.gif
2.05 MB

- Xet hash:
- 80b904f8b04c51935330380026c7b196debb10190377fd087ee2aa377f4f62fd
- Size of remote file:
- 2.05 MB
- SHA256:
- 1976c1e303ee558942b4be1c8fc645deb68558cd79121c1eba87ded3177d8741
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