Stochastic Driver Modeling and Validation with Traffic Data. - Mert Albaba; Yildiray Yildiz; Nan Li 015; Ilya V. Kolmanovsky; Anouck Girard (ACC, 2019)

Modeling cyber-physical human systems via an interplay between reinforcement learning and game theory. - Berat Mert Albaba; Yildiray Yildiz (Annu. Rev. Control., 2019)

SyNet: An Ensemble Network for Object Detection in UAV Images. - Berat Mert Albaba; Sedat Ozer (ICPR, 2020)

A 3D Modeling Framework for the Application of Unmanned Aircraft Systems Integration. - Berat Mert Albaba; Negin Musavi; Yildiray Yildiz (CCTA, 2021)

MARLUI: Multi-Agent Reinforcement Learning for Goal-Agnostic Adaptive UIs. - Thomas Langerak; Sammy Joe Christen; Mert Albaba; Christoph Gebhardt; Otmar Hilliges (CoRR, 2022)

Driver Modeling Through Deep Reinforcement Learning and Behavioral Game Theory. - Berat Mert Albaba; Yildiray Yildiz (IEEE Trans. Control. Syst. Technol., 2022)

A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos. - Süleyman Özdel; Yao Rong; Berat Mert Albaba; Yen-Ling Kuo; Xi Wang 021; Enkelejda Kasneci (ETRA, 2024)

Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention. - Süleyman Özdel; Yao Rong; Berat Mert Albaba; Yen-Ling Kuo; Xi Wang 021; Enkelejda Kasneci (ETRA, 2024)

RILe: Reinforced Imitation Learning. - Mert Albaba; Sammy Joe Christen; Christoph Gebhardt; Thomas Langarek; Michael J. Black; Otmar Hilliges (CoRR, 2024)

MARLUI: Multi-Agent Reinforcement Learning for Adaptive Point-and-Click UIs. - Thomas Langerak; Sammy Joe Christen; Mert Albaba; Christoph Gebhardt; Christian Holz 001; Otmar Hilliges (Proc. ACM Hum. Comput. Interact., 2024)

NIL: No-data Imitation Learning by Leveraging Pre-trained Video Diffusion Models. - Mert Albaba; Chenhao Li; Markos Diomataris; Omid Taheri; Andreas Krause 001; Michael Julian Black (CoRR, 2025)

Test-time Offline Reinforcement Learning on Goal-related Experience. - Marco Bagatella; Mert Albaba; Jonas Hübotter; Georg Martius; Andreas Krause 001 (CoRR, 2025)