Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm. - Johannes Günther 002; Alex Kearney; Nadia M. Ady; Michael Rory Dawson; Patrick M. Pilarski (AAMAS, 2019)

Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study. - Cam Linke; Nadia M. Ady; Martha White; Thomas Degris; Adam White 001 (CoRR, 2019)

Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures. - Johannes Günther 002; Nadia M. Ady; Alex Kearney; Michael Rory Dawson; Patrick M. Pilarski (Frontiers Robotics AI, 2020)

Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study. - Cam Linke; Nadia M. Ady; Martha White; Thomas Degris; Adam White 001 (J. Artif. Intell. Res., 2020)

Prototyping three key properties of specific curiosity in computational reinforcement learning. - Nadia M. Ady; Roshan Shariff; Johannes Günther 002; Patrick M. Pilarski (CoRR, 2022)

Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have. - Nadia M. Ady; Roshan Shariff; Johannes Günther 002; Patrick M. Pilarski (CoRR, 2022)

Interdisciplinary Methods in Computational Creativity: How Human Variables Shape Human-Inspired AI Research. - Nadia M. Ady; Faun Rice (ICCC, 2023)

WAVE: Anticipatory Movement Visualization for VR Dancing. - Markus Laattala; Roosa Piitulainen; Nadia M. Ady; Monica Tamariz; Perttu Hämäläinen (CHI, 2024)

Creativity and Markov Decision Processes. - Joonas Lahikainen; Nadia M. Ady; Christian Guckelsberger (ICCC, 2024)

Diversity Progress for Goal Selection in Discriminability-Motivated RL. - Erik M. Lintunen; Nadia M. Ady; Christian Guckelsberger (CoRR, 2024)

Towards a Formal Theory of the Need for Competence via Computational Intrinsic Motivation. - Erik M. Lintunen; Nadia M. Ady; Sebastian Deterding; Christian Guckelsberger (CoRR, 2025)