This repository is part of the
FluidGym
benchmark results. It contains trained Stable Baselines3 agents for the specialized
CylinderJet3D-medium-v0
environment.
Evaluation Results
Global Performance (Aggregated across 3 seeds)
Mean Reward:
-0.22 ± 0.12
Per-Seed Statistics
Run
Mean Reward
Std Dev
Seed 0
-0.15
0.28
Seed 1
-0.40
0.41
Seed 2
-0.12
0.30
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 PPO
model = PPO.load("0/ckpt_latest.zip")
Runs of safe-autonomous-systems ppo-CylinderJet3D-medium-v0 on huggingface.co
11
Total runs
1
24-hour runs
1
3-day runs
1
7-day runs
9
30-day runs
More Information About ppo-CylinderJet3D-medium-v0 huggingface.co Model
ppo-CylinderJet3D-medium-v0 huggingface.co
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