| Deep reinforcement learning: an overview SS Mousavi, M Schukat, E Howley Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016: Volume …, 2018 | 467 | 2018 |
| 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 | 368 | 2017 |
| 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 | 359 | 2016 |
| 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 | 301 | 2013 |
| 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 | 286 | 2022 |
| 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 | 150 | 2018 |
| Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants K Mason, J Duggan, E Howley Neurocomputing 270, 188-197, 2017 | 122 | 2017 |
| 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 | 118 | 2018 |
| 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 | 104 | 2017 |
| 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 | 92 | 2018 |
| 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 | 87 | 2011 |
| Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers R Shaw, E Howley, E Barrett Information Systems, 101722, 2021 | 81 | 2021 |
| 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 | 66 | 2018 |
| 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 | 65 | 2019 |
| 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 | 60 | 2017 |
| 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 | 58 | 2017 |
| Parallel reinforcement learning for traffic signal control P Mannion, J Duggan, E Howley Procedia Computer Science 52, 956-961, 2015 | 50 | 2015 |
| 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 | 48 | 2019 |
| 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 | 46 | 2016 |
| 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 | 43 | 2017 |
Jim DugganPersonal Professor in Computer Science, University of Galway在 universityofgalway.ie 的电子邮件经过验证
