William Ahlberg

William Ahlberg is a Doctoral student and Researcher at Kungliga Tekniska Högskolan (KTH), affiliated with the Division of Robotics, Perception and Learning. His research focuses on integrating human feedback into autonomous agent development, particularly in creating believable non-player characters (NPCs) for video games through advanced machine learning techniques. He explores algorithms that align human feedback with computational models using active and preference learning extensions, alongside novel interaction modalities for feedback collection.

Education details: Doctoral student at KTH's Division of Robotics, Perception and Learning.

Research interests emphasize multi-modal adversarial imitation learning, playstyle generation, and human-in-the-loop systems. His recent articles (2023-2025) highlight trends in game AI, NPC behavior modeling, and generative adversarial networks applied to interactive agent training. No scientific awards are listed. He has no recorded advisees or grants in the provided data. His work is primarily conducted within the Robotics, Perception and Learning division at KTH.