14 citations · 22 across the 3 of their papers we have counts for
3 papers
cs.AI2023
Predicting recovery following stroke: deep learning, multimodal data and feature selection using explainable AI
Adam White, Margarita Saranti, Artur d'Avila Garcez +3
Machine learning offers great potential for automated prediction of post-stroke symptoms and their response to rehabilitation. Major challenges for this endeavour include the very…
cs.AI2016★ 14 cited
Accelerated Gradient Temporal Difference Learning
Yangchen Pan, Adam White, Martha White
The family of temporal difference (TD) methods span a spectrum from computationally frugal linear methods like TD(λ) to data efficient least squares methods. Least square methods m…
cs.AI2016★ 8 cited
A Greedy Approach to Adapting the Trace Parameter for Temporal Difference Learning
Martha White, Adam White
One of the main obstacles to broad application of reinforcement learning methods is the parameter sensitivity of our core learning algorithms. In many large-scale applications, onl…