Luke Dickens
Luke Dickens
Lecturer in Machine Learning, University College London
Verified email at
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The use of reinforcement learning algorithms to meet the challenges of an artificial pancreas
MK Bothe, L Dickens, K Reichel, A Tellmann, B Ellger, M Westphal, ...
Expert review of medical devices 10 (5), 661-673, 2013
Risk-based security decisions under uncertainty
I Molloy, L Dickens, C Morisset, PC Cheng, J Lobo, A Russo
Proceedings of the second ACM conference on Data and Application Security …, 2012
Mining roles with noisy data
I Molloy, N Li, Y Qi, J Lobo, L Dickens
Proceedings of the 15th ACM symposium on Access control models and …, 2010
An investigation into the use of reinforcement learning techniques within the algorithmic trading domain
J Cumming, D Alrajeh, L Dickens
Imperial College London: London, UK 58, 2015
Learning stochastic models of information flow
L Dickens, I Molloy, J Lobo, PC Cheng, A Russo
2012 IEEE 28th international conference on data engineering, 570-581, 2012
Privacy dynamics: Learning privacy norms for social software
G Calikli, M Law, AK Bandara, A Russo, L Dickens, BA Price, A Stuart, ...
Proceedings of the 11th International Symposium on Software Engineering for …, 2016
GRIDCC: real-time workflow system
AS McGough, A Akram, L Guo, M Krznaric, L Dickens, D Colling, ...
Proceedings of the 2nd Workshop on Workflows in Support of Large-scale …, 2007
Foundations for a probabilistic event calculus
FA D’Asaro, A Bikakis, L Dickens, R Miller
International Conference on Logic Programming and Nonmonotonic Reasoning, 57-63, 2017
Adding instruments and workflow support to existing grid architectures
DJ Colling, LW Dickens, T Ferrari, Y Hassoun, CA Kotsokalis, M Krznaric, ...
Computational Science–ICCS 2006: 6th International Conference, Reading, UK …, 2006
Probabilistic reasoning about epistemic action narratives
FA D'Asaro, A Bikakis, L Dickens, R Miller
Artificial Intelligence 287, 103352, 2020
GRIDCC: A Real-time Grid workflow system with QoS
AS McGough, A Akram, L Guo, M Krznaric, L Dickens, D Colling, ...
Scientific Programming 15 (4), 213-234, 2007
ASIA: Automated social identity assessment using linguistic style
M Koschate, E Naserian, L Dickens, A Stuart, A Russo, M Levine
Behavior Research Methods 53, 1762-1781, 2021
Probabilistic abductive logic programming using Dirichlet priors
CR Turliuc, L Dickens, A Russo, K Broda
International Journal of Approximate Reasoning 78, 223-240, 2016
Risk-based access control decisions under uncertainty
I Molloy, L Dickens, C Morisset, PC Cheng, J Lobo, A Russo
Report on Risk Based Access Control March, 2011
Towards learning risk estimation functions for access control
L Dickens, A Russo, PC Cheng, J Lobo
In Snowbird Learning Workshop, 2010
Hierarchical, heterogeneous control of non-linear dynamical systems using reinforcement learning
E Abramova, L Dickens, D Kuhn, A Faisal
European Workshop On Reinforcement Learning, at ICML 2012, 2012
An automated Mobile game-based screening tool for patients with alcohol dependence
J Intarasirisawat, CS Ang, C Efstratiou, L Dickens, N Sriburapar, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020
The Dynamics of Multi-Agent Reinforcement Learning.
L Dickens, K Broda, A Russo
ECAI, 367-372, 2010
Learning to share: engineering adaptive decision-support for online social networks
Y Rafiq, L Dickens, A Russo, AK Bandara, M Yang, A Stuart, M Levine, ...
2017 32nd IEEE/ACM International Conference on Automated Software …, 2017
RLOC: neurobiologically inspired hierarchical reinforcement learning algorithm for continuous control of nonlinear dynamical systems
E Abramova, L Dickens, D Kuhn, A Faisal
arXiv preprint arXiv:1903.03064, 2019
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