Search Results for author: Jonathan Shock

Found 5 papers, 2 papers with code

A Sequence Modelling Approach to Question Answering in Text-Based Games

no code implementations NAACL (Wordplay) 2022 Gregory Furman, Edan Toledo, Jonathan Shock, Jan Buys

Interactive Question Answering (IQA) requires an intelligent agent to interact with a dynamic environment in order to gather information necessary to answer a question.

Question Answering text-based games

Brain Structural Saliency Over The Ages

no code implementations12 Jan 2022 Daniel Taylor, Jonathan Shock, Deshendran Moodley, Jonathan Ipser, Matthias Treder

Brain Age (BA) estimation via Deep Learning has become a strong and reliable bio-marker for brain health, but the black-box nature of Neural Networks does not easily allow insight into the features of brain ageing. We trained a ResNet model as a BA regressor on T1 structural MRI volumes from a small cross-sectional cohort of 524 individuals.

Causal Multi-Agent Reinforcement Learning: Review and Open Problems

no code implementations12 Nov 2021 St John Grimbly, Jonathan Shock, Arnu Pretorius

This paper serves to introduce the reader to the field of multi-agent reinforcement learning (MARL) and its intersection with methods from the study of causality.

Multi-agent Reinforcement Learning reinforcement-learning

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