This repository is part of the
FluidGym
benchmark results. It contains trained Stable Baselines3 agents for the specialized
CylinderJet2D-hard-v0
environment.
Evaluation Results
Global Performance (Aggregated across 5 seeds)
Mean Reward:
1.18 ± 0.06
Per-Seed Statistics
Run
Mean Reward
Std Dev
Seed 0
1.17
0.75
Seed 1
1.09
0.75
Seed 2
1.13
0.70
Seed 3
1.26
0.74
Seed 4
1.23
0.77
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-hard-v0 on huggingface.co
23
Total runs
1
24-hour runs
5
3-day runs
4
7-day runs
3
30-day runs
More Information About ppo-CylinderJet2D-hard-v0 huggingface.co Model
ppo-CylinderJet2D-hard-v0 huggingface.co
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safe-autonomous-systems ppo-CylinderJet2D-hard-v0 online free url in huggingface.co:
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ppo-CylinderJet2D-hard-v0 install url in huggingface.co: