This repository is part of the
FluidGym
benchmark results. It contains trained Stable Baselines3 agents for the specialized
CylinderRot2D-medium-v0
environment.
Evaluation Results
Global Performance (Aggregated across 5 seeds)
Mean Reward:
0.34 ± 0.04
Per-Seed Statistics
Run
Mean Reward
Std Dev
Seed 0
0.40
0.63
Seed 1
0.29
0.67
Seed 2
0.36
0.69
Seed 3
0.32
0.66
Seed 4
0.34
0.65
About FluidGym
FluidGym is a benchmark for reinforcement learning in active flow control.
Usage
Each seed is contained in its own subdirectory. You can load a model using:
from stable_baselines3 import SAC
model = SAC.load("0/ckpt_latest.zip")
Runs of safe-autonomous-systems sac-CylinderRot2D-medium-v0 on huggingface.co
22
Total runs
2
24-hour runs
5
3-day runs
6
7-day runs
-17
30-day runs
More Information About sac-CylinderRot2D-medium-v0 huggingface.co Model
sac-CylinderRot2D-medium-v0 huggingface.co
sac-CylinderRot2D-medium-v0 huggingface.co is an AI model on huggingface.co that provides sac-CylinderRot2D-medium-v0's model effect (), which can be used instantly with this safe-autonomous-systems sac-CylinderRot2D-medium-v0 model. huggingface.co supports a free trial of the sac-CylinderRot2D-medium-v0 model, and also provides paid use of the sac-CylinderRot2D-medium-v0. Support call sac-CylinderRot2D-medium-v0 model through api, including Node.js, Python, http.
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safe-autonomous-systems sac-CylinderRot2D-medium-v0 online free url in huggingface.co:
sac-CylinderRot2D-medium-v0 is an open source model from GitHub that offers a free installation service, and any user can find sac-CylinderRot2D-medium-v0 on GitHub to install. At the same time, huggingface.co provides the effect of sac-CylinderRot2D-medium-v0 install, users can directly use sac-CylinderRot2D-medium-v0 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
sac-CylinderRot2D-medium-v0 install url in huggingface.co: