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 0/test/temperature_test_eval_episode_0.gif from safe-autonomous-systems/ppo-RBC2D-medium-v0: direct link, hf CLI and curl.
- Browser
- Download file 2.04 MB
-
https://huggingface.co/safe-autonomous-systems/ppo-RBC2D-medium-v0/resolve/main/0/test/temperature_test_eval_episode_0.gif
- Command line
-
hf download hf://safe-autonomous-systems/ppo-RBC2D-medium-v0/0/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/0/test/temperature_test_eval_episode_0.gif
2.04 MB

- Xet hash:
- d49c8516ecd0f43951373fd8b5ba8c87262f5f577a25a99bcddbdb16313f5a13
- Size of remote file:
- 2.04 MB
- SHA256:
- bad152c1a6ac9670f55954c9e8bf40f995531db7dc363c01d7ab20970e80f715
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.