From ab131e247d1094bc815fd04c13d8fcc23dbecfe4 Mon Sep 17 00:00:00 2001 From: Brian Delhaisse Date: Mon, 7 Oct 2019 16:38:02 +0200 Subject: [PATCH] update index --- index.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.md b/index.md index f224095..52b0c4b 100644 --- a/index.md +++ b/index.md @@ -7,9 +7,9 @@ into a common place are scarce. Existing ones tend to be robot-specific, and oft other robots. Also, their architecture is often weakly structured, mainly because of a lack of modularity and flexibility. This leads users to reimplement several pieces of code to integrate them into their own experimental or benchmarking work. -To overcome these issues, we introduce *PyRoboLearn*, a new Python robot learning framework that combines different learning +To overcome these issues, we introduce PyRoboLearn, a new Python robot learning framework that combines different learning paradigms into a single framework. Our framework provides a plethora of robotic environments, learning models and algorithms. -*PyRoboLearn* is developed with a particular focus on modularity, flexibility, generality, and simplicity to favor (re)usability. +PyRoboLearn is developed with a particular focus on modularity, flexibility, generality, and simplicity to favor (re)usability. This is achieved by abstracting each key concept, undertaking a modular programming approach, minimizing the coupling among the different modules, and favoring composition over inheritance for better flexibility. We demonstrate the different features and utility of our framework through different use cases.