activity
20132022
most citedWomen, politics and Twitter: Using machine learning to change the discourse

13 citations · 36 across the 9 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.SI2019★ 13 cited

Women, politics and Twitter: Using machine learning to change the discourse

Lana Cuthbertson, Alex Kearney, Riley Dawson +4

Including diverse voices in political decision-making strengthens our democratic institutions. Within the Canadian political system, there is gender inequality across all levels of…

cs.LG2019

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…

cs.LG2019★ 2 cited

When is a Prediction Knowledge?

Alex Kearney, Patrick M. Pilarski

Within Reinforcement Learning, there is a growing collection of research which aims to express all of an agent's knowledge of the world through predictions about sensation, behavio…

cs.AI2019

Making Meaning: Semiotics Within Predictive Knowledge Architectures

Alex Kearney, Oliver Oxton

Within Reinforcement Learning, there is a fledgling approach to conceptualizing the environment in terms of predictions. Central to this predictive approach is the assertion that i…

cs.LG2019★ 7 cited

Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning

Alex Kearney, Vivek Veeriah, Jaden Travnik +2

There is a long history of using meta learning as representation learning, specifically for determining the relevance of inputs. In this paper, we examine an instance of meta-learn…