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
https://research.aalto.fi/...
Email
[email protected]
Areas of expertise
Curiosity, Reinforcement learning
Research groups
- Professorship Guckelsberger Christian, Postdoctoral Researcher
Publications
Why Self-Determination Theory Needs Formal Modelling: The Case of Competence and Balanced Challenge
Sebastian Deterding, Erik Matias Lintunen, Christian Guckelsberger, Nadia M. Ady
2024
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
Diversity Progress for Goal Selection in Discriminability-Motivated RL
Erik Lintunen, Nadia Ady, Christian Guckelsberger
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
arXiv.org
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
Frontiers in Robotics and AI
Adapting behavior via intrinsic reward
Cam Linke, Nadia M. Ady, Martha White, Thomas Degris, Adam White
2020
Journal of Artificial Intelligence Research