Towards optimized actions in critical situations of soccer games with deep reinforcement learning. - Pegah Rahimian; Afshin Oroojlooy; László Toka (DSAA, 2021)

Inferring the Strategy of Offensive and Defensive Play in Soccer with Inverse Reinforcement Learning. - Pegah Rahimian; László Toka (MLSA@PKDD/ECML, 2021)

Let's Penetrate the Defense: A Machine Learning Model for Prediction and Valuation of Penetrative Passes. - Pegah Rahimian; Dayana Grayce da Silva Guerra Gomes; Fanni Berkovics; László Toka (MLSA@PKDD/ECML, 2022)

Optical tracking in team sports. - Pegah Rahimian; László Toka (CoRR, 2022)

In-game soccer outcome prediction with offline reinforcement learning. - Pegah Rahimian; Balazs Mark Mihalyi; László Toka (Mach. Learn., 2024)

Automated Explanation of Machine Learning Models of Footballing Actions in Words. - Pegah Rahimian; Jernej Flisar; David J. T. Sumpter (CoRR, 2025)