Nadia M. Ady

Nadia M. Ady

Postdoctoral Researcher
Department of Computer Science

My current research interests are in artificial intelligence, specifically in the possibilities for imbuing machines with traits of creativity and curiosity. In particular, my recent work has been towards better understanding the landscape of intrinsically motivated learning algorithms and to achieving the benefits of specific curiosity for machine learners. 

Full researcher profile


Curiosity, Reinforcement learning


  • Professorship Guckelsberger Christian, Postdoctoral Researcher


WAVE : Anticipatory Movement Visualization for VR Dancing

Markus Laattala, Roosa Piitulainen, Nadia Ady, Monica Tamariz, Perttu Hämäläinen 2024 CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

Creativity and Markov Decision Processes

Joonas Lahikainen, Nadia M. Ady, Christian Guckelsberger 2024 Proceedings of the 15th International Conference on Computational Creativity (ICCC 2024)

Advancing Self-Determination Theory With Computational Intrinsic Motivation: The Case of Competence

Erik Matias Lintunen, Nadia M. Ady, Christian Guckelsberger, Sebastian Deterding 2024

Interdisciplinary Methods in Computational Creativity: How Human Variables Shape Human-Inspired AI Research

Nadia M. Ady, Faun Rice 2023 Proceedings of the 14th International Conference on Computational Creativity (ICCC’23)

Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have

Nadia M. Ady, Roshan Shariff, Johannes Günther, Patrick M. Pilarski 2022

Prototyping three key properties of specific curiosity in computational reinforcement learning

Nadia M. Ady, Roshan Shariff, Johannes Günther, Patrick M. Pilarski 2022

Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures

Johannes Günther, Nadia M. Ady, Alex Kearney, Michael R. Dawson, Patrick M. Pilarski 2020

Adapting behavior via intrinsic reward

Cam Linke, Nadia M. Ady, Martha White, Thomas Degris, Adam White 2020

Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm

Johannes Günther, Alex Kearney, Nadia M. Ady, Michael R. Dawson, Patrick M. Pilarski 2019