From cc988e33bbac13224159796b1319a060f626e5c0 Mon Sep 17 00:00:00 2001 From: Stefan Werner <36734964+stwerner97@users.noreply.github.com> Date: Thu, 27 Jun 2024 16:56:21 +0200 Subject: [PATCH] adding code style badge --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index 27868ae..48d7752 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,5 @@ # Numerical Evidence for Sample Efficiency of Model-Based over Model-Free Reinforcement Learning Control of Partial Differential Equations [ECC'24] - -[![Python application](https://github.com/stwerner97/pdecontrol/actions/workflows/python-app.yml/badge.svg)](https://github.com/stwerner97/pdecontrol/actions/workflows/python-app.yml) +[![Python application](https://github.com/stwerner97/pdecontrol/actions/workflows/python-app.yml/badge.svg)](https://github.com/stwerner97/pdecontrol/actions/workflows/python-app.yml) [![Code Style: Black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) This repository holds the implementation of our model-based deep reinforcement learning algorithm for the control of partial differential equations (specifically the Kuramoto-Sivashinsky & Burger equations). This work has been presented at the European Control Conference