Learning Real-Life Football Tactics

Using Active Inference to learn optimal football strategies

Project Overview

This research project aims to apply Active Inference principles to learn and optimize football tactics in real-world scenarios. By modeling football players as Active Inference agents, we can develop a framework that learns optimal positioning, movement patterns, and decision-making in dynamic game situations. The project combines cutting-edge AI research with practical sports applications.

Research Goals

Technical Approach

Applications

Student Opportunities

We are currently recruiting Master’s students interested in:

Ideal candidates should have:

Current Status

This is an ongoing research project where we collaborate with football clubs to validate our approaches. We’re particularly interested in:

Interested students can contact me for more information about thesis opportunities in this project.