Search Results for author: Alexandra Kearney

Found 2 papers, 0 papers with code

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

no code implementations13 Jun 2022 Alexandra Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski

In computational reinforcement learning, a growing body of work seeks to construct an agent's perception of the world through predictions of future sensations; predictions about environment observations are used as additional input features to enable better goal-directed decision-making.

Continual Learning Decision Making

Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb

no code implementations18 Sep 2013 Ann L. Edwards, Alexandra Kearney, Michael Rory Dawson, Richard S. Sutton, Patrick M. Pilarski

In the present work, we explore the use of temporal-difference learning and GVFs to predict when users will switch their control influence between the different motor functions of a robot arm.

Decision Making Reinforcement Learning (RL)

Cannot find the paper you are looking for? You can Submit a new open access paper.