Alexandra Kearney

According to our database, Alexandra Kearney authored at least 13 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

What's a good prediction? Challenges in evaluating an agent's knowledge.

Alex Kearney, Anna Koop, Patrick M. Pilarski

Adapt. Behav., 2023

2022

Prediction, Knowledge, and Explainability: Examining the Use of General Value Functions in Machine Knowledge.

Alex Kearney, Johannes Günther, Patrick M. Pilarski

Frontiers Artif. Intell., 2022

What Should I Know? Using Meta-Gradient Descent for Predictive Feature Discovery in a Single Stream of Experience.

Alex Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making.

Alex Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski

CoRR, 2021

2020

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

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

Frontiers Robotics AI, 2020

What's a Good Prediction? Issues in Evaluating General Value Functions Through Error.

Alex Kearney, Anna Koop, Patrick M. Pilarski

CoRR, 2020

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

When is a Prediction Knowledge?

Alex Kearney, Patrick M. Pilarski

CoRR, 2019

Making Meaning: Semiotics Within Predictive Knowledge Architectures.

Alexandra Kearney, Oliver Oxton

CoRR, 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

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 Rory Dawson, Patrick M. Pilarski

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

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

2013

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