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:
0.26 ± 0.13
Per-Seed Statistics
Run
Mean Reward
Std Dev
Seed 0
0.39
0.55
Seed 1
0.29
0.50
Seed 2
0.38
0.46
Seed 3
0.17
0.39
Seed 4
0.07
0.36
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-CylinderJet2D-medium-v0 on huggingface.co
32
Total runs
0
24-hour runs
0
3-day runs
22
7-day runs
18
30-day runs
More Information About ppo-CylinderJet2D-medium-v0 huggingface.co Model
ppo-CylinderJet2D-medium-v0 huggingface.co
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