This repository is part of the
FluidGym
benchmark results. It contains trained Stable Baselines3 agents for the specialized
CylinderJet2D-medium-v0
environment.
Evaluation Results
Global Performance (Aggregated across 5 seeds)
Mean Reward:
0.38 ± 0.17
Per-Seed Statistics
Run
Mean Reward
Std Dev
Seed 0
0.51
0.56
Seed 1
0.52
0.52
Seed 2
0.50
0.45
Seed 3
0.09
0.30
Seed 4
0.26
0.42
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-CylinderJet2D-medium-v0 on huggingface.co
42
Total runs
0
24-hour runs
-1
3-day runs
6
7-day runs
12
30-day runs
More Information About sac-CylinderJet2D-medium-v0 huggingface.co Model
sac-CylinderJet2D-medium-v0 huggingface.co
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safe-autonomous-systems sac-CylinderJet2D-medium-v0 online free url in huggingface.co:
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sac-CylinderJet2D-medium-v0 install url in huggingface.co: