Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation

TL;DR

Pyrus Base is an open-source Python framework designed to simplify the development of agents in RoboCup 2D Soccer Simulation, making it more accessible for researchers and beginners to implement machine learning techniques.

Contribution

It introduces the first Python-based base code for RoboCup 2D Soccer Simulation, easing development and promoting machine learning integration.

Findings

Facilitates easier agent development for RoboCup 2D Soccer

Enables researchers to incorporate machine learning algorithms

Open-source availability encourages community collaboration

Abstract

Soccer, also known as football in some parts of the world, involves two teams of eleven players whose objective is to score more goals than the opposing team. To simulate this game and attract scientists from all over the world to conduct research and participate in an annual computer-based soccer world cup, Soccer Simulation 2D (SS2D) was one of the leagues initiated in the RoboCup competition. In every SS2D game, two teams of 11 players and one coach connect to the RoboCup Soccer Simulation Server and compete against each other. Over the past few years, several C++ base codes have been employed to control agents' behavior and their communication with the server. Although C++ base codes have laid the foundation for the SS2D, developing them requires an advanced level of C++ programming. C++ language complexity is a limiting disadvantage of C++ base codes for all users, especially for beginners. To conquer the challenges of C++ base codes and provide a powerful baseline for developing machine learning concepts, we introduce Pyrus, the first Python base code for SS2D. Pyrus is developed to encourage researchers to efficiently develop their ideas and integrate machine learning algorithms into their teams. Pyrus base is open-source code, and it is publicly available under MIT License on GitHub