Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb. - Ann L. Edwards; Alexandra Kearney; Michael Rory Dawson; Richard S. Sutton; Patrick M. Pilarski (CoRR, 2013)

TIDBD: Adapting Temporal-difference Step-sizes Through Stochastic Meta-descent. - Alexandra Kearney; Vivek Veeriah; Jaden B. Travnik; Richard S. Sutton; Patrick M. Pilarski (CoRR, 2018)

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)

Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning. - Alexandra Kearney; Vivek Veeriah; Jaden B. Travnik; Patrick M. Pilarski; Richard S. Sutton (CoRR, 2019)

Making Meaning: Semiotics Within Predictive Knowledge Architectures. - Alexandra Kearney; Oliver Oxton (CoRR, 2019)

When is a Prediction Knowledge? - Alex Kearney; Patrick M. Pilarski (CoRR, 2019)

Women, politics and Twitter: Using machine learning to change the discourse. - Lana Cuthbertson; Alex Kearney; Riley Dawson; Ashia Zawaduk; Eve Cuthbertson; Ann Gordon-Tighe; Kory W. Mathewson (CoRR, 2019)

What's a Good Prediction? Issues in Evaluating General Value Functions Through Error. - Alex Kearney; Anna Koop; Patrick M. Pilarski (CoRR, 2020)

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)

Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making. - Alex Kearney; Anna Koop; Johannes Günther 002; Patrick M. Pilarski (CoRR, 2021)

What Should I Know? Using Meta-Gradient Descent for Predictive Feature Discovery in a Single Stream of Experience. - Alex Kearney; Anna Koop; Johannes Günther 002; Patrick M. Pilarski (CoLLAs, 2022)

Prediction, Knowledge, and Explainability: Examining the Use of General Value Functions in Machine Knowledge. - Alex Kearney; Johannes Günther 002; Patrick M. Pilarski (Frontiers Artif. Intell., 2022)

What's a good prediction? Challenges in evaluating an agent's knowledge. - Alex Kearney; Anna Koop; Patrick M. Pilarski (Adapt. Behav., 2023)