7 citations · 16 across the 4 of their papers we have counts for
4 papers
Pittsburgh Learning Classifier Systems for Explainable Reinforcement Learning: Comparing with XCS
Jordan T. Bishop, Marcus Gallagher, Will N. Browne
Interest in reinforcement learning (RL) has recently surged due to the application of deep learning techniques, but these connectionist approaches are opaque compared with symbolic…
A Genetic Fuzzy System for Interpretable and Parsimonious Reinforcement Learning Policies
Jordan T. Bishop, Marcus Gallagher, Will N. Browne
Reinforcement learning (RL) is experiencing a resurgence in research interest, where Learning Classifier Systems (LCSs) have been applied for many years. However, traditional Michi…
Lateralization in Agents' Decision Making: Evidence of Benefits/Costs from Artificial Intelligence
Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
Lateralization is ubiquitous in vertebrate brains which, as well as its role in locomotion, is considered an important factor in biological intelligence. Lateralization has been as…
Lateralized Learning for Multi-Class Visual Classification Tasks
Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
The majority of computer vision algorithms fail to find higher-order (abstract) patterns in an image so are not robust against adversarial attacks, unlike human lateralized vision.…