This repository is part of the
FluidGym
benchmark results. It contains trained Stable Baselines3 agents for the specialized
TCFLarge3D-both-easy-v0
environment.
Evaluation Results
Global Performance (Aggregated across 5 seeds)
Mean Reward:
0.11 ± 0.07
Per-Seed Statistics
Run
Mean Reward
Std Dev
Seed 0
0.12
0.05
Seed 1
0.11
0.04
Seed 2
-0.01
0.04
Seed 3
0.19
0.06
Seed 4
0.15
0.05
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 ma-ppo-TCFLarge3D-both-easy-v0 on huggingface.co
20
Total runs
1
24-hour runs
1
3-day runs
11
7-day runs
4
30-day runs
More Information About ma-ppo-TCFLarge3D-both-easy-v0 huggingface.co Model
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