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safe-autonomous-systems/
ma-ppo-RBC2D-medium-v0

Name: ma-ppo-RBC2D-medium-v0
Rating: 2.5 (23 reviews)

stable-baselines3

reinforcement-learning

deep-reinforcement-learning

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PPO on RBC2D-medium-v0 (FluidGym)

This repository is part of the FluidGym benchmark results. It contains trained Stable Baselines3 agents for the specialized RBC2D-medium-v0 environment.

Evaluation Results

Global Performance (Aggregated across 5 seeds)

Mean Reward: 0.06 ± 0.15

Per-Seed Statistics

Run	Mean Reward	Std Dev
Seed 0	-0.06	1.56
Seed 1	0.27	1.35
Seed 2	0.21	0.93
Seed 3	-0.12	1.43
Seed 4	0.00	1.38

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:

python

from stable_baselines3 import PPO
model = PPO.load("0/ckpt_latest.zip")

Important: The models were trained using fluidgym==0.0.2. In order to use them with newer versions of FluidGym, you need to wrap the environment with a FlattenObservation wrapper as shown below: