9 citations · 11 across the 7 of their papers we have counts for
8 papers
Towards a Formal Theory of the Need for Competence via Computational Intrinsic Motivation
Erik M. Lintunen, Nadia M. Ady, Sebastian Deterding +1
Computational modelling offers a powerful tool for formalising psychological theories, making them more transparent, testable, and applicable in digital contexts. Yet, the question…
Diversity Progress for Goal Selection in Discriminability-Motivated RL
Erik M. Lintunen, Nadia M. Ady, Christian Guckelsberger
Non-uniform goal selection has the potential to improve the reinforcement learning (RL) of skills over uniform-random selection. In this paper, we introduce a method for learning a…
Creativity and Markov Decision Processes
Joonas Lahikainen, Nadia M. Ady, Christian Guckelsberger
Creativity is already regularly attributed to AI systems outside specialised computational creativity (CC) communities. However, the evaluation of creativity in AI at large typical…
Interdisciplinary Methods in Computational Creativity: How Human Variables Shape Human-Inspired AI Research
Nadia M. Ady, Faun Rice
The word creativity originally described a concept from human psychology, but in the realm of computational creativity (CC), it has become much more. The question of what creativit…
Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have
Nadia M. Ady, Roshan Shariff, Johannes Günther +1
Curiosity for machine agents has been a focus of lively research activity. The study of human and animal curiosity, particularly specific curiosity, has unearthed several propertie…
Prototyping three key properties of specific curiosity in computational reinforcement learning
Nadia M. Ady, Roshan Shariff, Johannes Günther +1
Curiosity for machine agents has been a focus of intense research. The study of human and animal curiosity, particularly specific curiosity, has unearthed several properties that w…
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures
Johannes Günther, Nadia M. Ady, Alex Kearney +2
Predictions and predictive knowledge have seen recent success in improving not only robot control but also other applications ranging from industrial process control to rehabilitat…
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study
Cam Linke, Nadia M. Ady, Martha White +2
Learning about many things can provide numerous benefits to a reinforcement learning system. For example, learning many auxiliary value functions, in addition to optimizing the env…