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/sac-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/sac-RBC2D-easy-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="safe-autonomous-systems/sac-RBC2D-easy-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download 2/test/temperature_test_eval_episode_0.gif from safe-autonomous-systems/sac-RBC2D-easy-v0: direct link, hf CLI and curl.
- Browser
- Download file 1.19 MB
-
https://huggingface.co/safe-autonomous-systems/sac-RBC2D-easy-v0/resolve/main/2/test/temperature_test_eval_episode_0.gif
- Command line
-
hf download hf://safe-autonomous-systems/sac-RBC2D-easy-v0/2/test/temperature_test_eval_episode_0.gif
-
curl -L -o temperature_test_eval_episode_0.gif https://huggingface.co/safe-autonomous-systems/sac-RBC2D-easy-v0/resolve/main/2/test/temperature_test_eval_episode_0.gif
1.19 MB

- Xet hash:
- 08d661234eb382e239b75876d2ac7112ca8a065d01132b3e84bc2b74d8010e91
- Size of remote file:
- 1.19 MB
- SHA256:
- 532de327539d5af9d130bc4f6b64f36a7be366039e65a96bbcb52a35f1313678
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