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Enda Howley
Enda Howley
Associate Professor in Computer Science, University of Galway
Verified email at nuigalway.ie - Homepage
Title
Cited by
Cited by
Year
Deep reinforcement learning: an overview
SS Mousavi, M Schukat, E Howley
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016: Volume …, 2018
3502018
Traffic light control using deep policy‐gradient and value‐function‐based reinforcement learning
SS Mousavi, M Schukat, E Howley
IET Intelligent Transport Systems 11 (7), 417-423, 2017
3282017
An experimental review of reinforcement learning algorithms for adaptive traffic signal control
P Mannion, J Duggan, E Howley
Autonomic road transport support systems, 47-66, 2016
3152016
Applying reinforcement learning towards automating resource allocation and application scalability in the cloud
E Barrett, E Howley, J Duggan
Concurrency and computation: practice and experience 25 (12), 1656-1674, 2013
2822013
A practical guide to multi-objective reinforcement learning and planning
CF Hayes, R Rădulescu, E Bargiacchi, J Källström, M Macfarlane, ...
Autonomous Agents and Multi-Agent Systems 36 (1), 26, 2022
1352022
Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks
K Mason, J Duggan, E Howley
Energy 155, 705-720, 2018
1262018
Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants
K Mason, J Duggan, E Howley
Neurocomputing 270, 188-197, 2017
1122017
Predicting host CPU utilization in the cloud using evolutionary neural networks
K Mason, M Duggan, E Barrett, J Duggan, E Howley
Future Generation Computer Systems 86, 162-173, 2018
1002018
Predicting host CPU utilization in cloud computing using recurrent neural networks
M Duggan, K Mason, J Duggan, E Howley, E Barrett
2017 12th international conference for internet technology and secured …, 2017
882017
A multi-objective neural network trained with differential evolution for dynamic economic emission dispatch
K Mason, J Duggan, E Howley
International Journal of Electrical Power & Energy Systems 100, 201-221, 2018
872018
A learning architecture for scheduling workflow applications in the cloud
E Barrett, E Howley, J Duggan
2011 IEEE ninth European conference on web services, 83-90, 2011
832011
An energy efficient anti-correlated virtual machine placement algorithm using resource usage predictions
R Shaw, E Howley, E Barrett
Simulation Modelling Practice and Theory 93, 322-342, 2019
612019
Policy invariance under reward transformations for multi-objective reinforcement learning
P Mannion, S Devlin, K Mason, J Duggan, E Howley
Neurocomputing 263, 60-73, 2017
522017
Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning
P Mannion, S Devlin, J Duggan, E Howley
The Knowledge Engineering Review 33, e23, 2018
502018
Parallel reinforcement learning for traffic signal control
P Mannion, J Duggan, E Howley
Procedia Computer Science 52, 956-961, 2015
492015
An advanced reinforcement learning approach for energy-aware virtual machine consolidation in cloud data centers
R Shaw, E Howley, E Barrett
2017 12th International Conference for Internet Technology and Secured …, 2017
482017
Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers
R Shaw, E Howley, E Barrett
Information Systems, 101722, 2021
462021
A multitime‐steps‐ahead prediction approach for scheduling live migration in cloud data centers
M Duggan, R Shaw, J Duggan, E Howley, E Barrett
Software: Practice and Experience 49 (4), 617-639, 2019
402019
A reinforcement learning approach for dynamic selection of virtual machines in cloud data centres
M Duggan, K Flesk, J Duggan, E Howley, E Barrett
2016 sixth international conference on innovative computing technology …, 2016
392016
A network aware approach for the scheduling of virtual machine migration during peak loads
M Duggan, J Duggan, E Howley, E Barrett
Cluster Computing 20, 2083-2094, 2017
382017
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