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Kai Arulkumaran
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A Brief Survey of Deep Reinforcement Learning
K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath
IEEE Signal Processing Magazine 34 (6), 26-38, 2017
2014*2017
Generative Adversarial Networks: An Overview
A Creswell, T White, V Dumoulin, K Arulkumaran, B Sengupta, ...
IEEE Signal Processing Magazine 35 (1), 53-65, 2018
11902018
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
N Dilokthanakul, PAM Mediano, M Garnelo, MCH Lee, H Salimbeni, ...
arXiv preprint arXiv:1611.02648, 2016
4192016
Towards Deep Symbolic Reinforcement Learning
M Garnelo, K Arulkumaran, M Shanahan
Workshop on Deep Reinforcement Learning, Neural Information Processing Systems, 2016
2012016
AlphaStar: An Evolutionary Computation Perspective
K Arulkumaran, A Cully, J Togelius
Genetic and Evolutionary Computation Conference Companion, 314-315, 2019
1542019
Adaptive Neural Trees
R Tanno, K Arulkumaran, DC Alexander, A Criminisi, A Nori
International Conference on Machine Learning, 2019
1192019
On Denoising Autoencoders Trained to Minimise Binary Cross-entropy
A Creswell, K Arulkumaran, AA Bharath
arXiv preprint arXiv:1708.08487, 2017
572017
Image Synthesis with a Convolutional Capsule Generative Adversarial Network
C Bass, T Dai, B Billot, K Arulkumaran, A Creswell, C Clopath, V De Paola, ...
International Conference on Medical Imaging with Deep Learning 102, 38-61, 2019
232019
Classifying Options for Deep Reinforcement Learning
K Arulkumaran, N Dilokthanakul, M Shanahan, AA Bharath
Workshop on Deep Reinforcement Learning: Frontiers and Challenges …, 2016
232016
Improving Sampling from Generative Autoencoders with Markov Chains
K Arulkumaran, A Creswell, AA Bharath
arXiv preprint arXiv:1610.09296, 2016
212016
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
T Dai, K Arulkumaran, T Gerbert, S Tukra, F Behbahani, AA Bharath
Neurocomputing, 2022
162022
The Societal Implications of Deep Reinforcement Learning
J Whittlestone, K Arulkumaran, M Crosby
Journal of Artificial Intelligence Research 70, 1003-1030, 2021
122021
Deep Reinforcement Learning for Subpixel Neural Tracking
T Dai, M Dubois, K Arulkumaran, J Campbell, C Bass, B Billot, F Uslu, ...
International Conference on Medical Imaging with Deep Learning 102, 110-131, 2019
122019
Variational Inference for Data-Efficient Model Learning in POMDPs
S Tschiatschek, K Arulkumaran, J Stühmer, K Hofmann
arXiv preprint arXiv:1805.09281, 2018
10*2018
Privileged Information Dropout in Reinforcement Learning
PA Kamienny, K Arulkumaran, F Behbahani, W Böhmer, S Whiteson
Beyond “Tabula Rasa” in Reinforcement Learning Workshop, International …, 2020
92020
An Analysis of Emergency Tracheal Intubations in Critically Ill Patients by Critical Care Trainees
N Arulkumaran, CS McLaren, K Arulkumaran, BJ Philips, M Cecconi
Journal of the Intensive Care Society 19 (3), 180-187, 2018
92018
EczemaNet: Automating Detection and Severity Assessment of Atopic Dermatitis
K Pan, G Hurault, K Arulkumaran, H Williams, RJ Tanaka
International Workshop on Machine Learning in Medical Imaging, 2020
82020
An Assistive Haptic Interface for Appearance-based Indoor Navigation
J Rivera-Rubio, K Arulkumaran, H Rishi, I Alexiou, AA Bharath
Computer Vision and Image Understanding 149, 126-145, 2016
72016
Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means
A Agostinelli, K Arulkumaran, M Sarrico, P Richemond, AA Bharath
Workshop on Biological and Artificial Reinforcement Learning, Neural …, 2019
52019
BETH Dataset: Real Cybersecurity Data for Anomaly Detection Research
K Highnam, K Arulkumaran, Z Hanif, NR Jennings
Conference on Applied Machine Learning for Information Security, 2021
42021
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