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08/03/2023
Bag of Policies for Distributional Deep Exploration
Efficient exploration in complex environments remains a major challenge ...
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06/23/2022
Breaking Bad News in the Era of Artificial Intelligence and Algorithmic Medicine: An Exploration of Disclosure and its Ethical Justification using the Hedonic Calculus
An appropriate ethical framework around the use of Artificial Intelligen...
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03/09/2021
HemCNN: Deep Learning enables decoding of fNIRS cortical signals in hand grip motor tasks
We solve the fNIRS left/right hand force decoding problem using a data-d...
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03/09/2021
Deep Real-Time Decoding of bimanual grip force from EEG fNIRS
Non-invasive cortical neural interfaces have only achieved modest perfor...
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07/29/2019
Action Grammars: A Cognitive Model for Learning Temporal Abstractions
Hierarchical Reinforcement Learning algorithms have successfully been ap...
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03/07/2019
RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems
Nonlinear optimal control problems are often solved with numerical metho...
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01/15/2019
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning
Sepsis is the leading cause of mortality in the ICU. It is challenging t...
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07/31/2018
Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI
For many people suffering from motor disabilities, assistive devices con...
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07/03/2018
Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters
In this work, we consider the problem of estimating a behaviour policy f...
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05/31/2018
Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Much attention has been devoted recently to the development of machine l...
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05/23/2018