CYRUS Soccer Simulation 2D Team Description Paper 2021

TL;DR

This paper details the technical approach of the Cyrus 2D soccer simulation team, focusing on teammate behavior prediction and demonstrating an 11.30% improvement in win rate through optimal view angle selection.

Contribution

It introduces a method for predicting teammate behavior from noisy inputs, enhancing decision-making in soccer simulation.

Findings

11.30% improvement in expected win rate

Effective behavior prediction from noisy data

Optimized view angle selection enhances performance

Abstract

In this report, we briefly present the technical procedure and simulation steps for the 2D soccer simulation of team Cyrus. We emphasize on this document on how the prediction of teammates' behavior is performed. In our proposed method, the agent receives the noisy inputs from the server, and predicts the ball holder full state behavior. Taking advantage of this approach for choosing the optimal view angle shows 11.30% improvement on the expected win rate.