| Accelerating Learning in Multi-Objective Systems through Transfer Learning A Taylor, I Dusparic, E Galván-López, S Clarke, V Cahill Special session at WCCI 2014 Learning and optimization in multi-criteria …, 2014 | 54 | 2014 |
| Residential demand response: Experimental evaluation and comparison of self-organizing techniques I Dusparic, A Taylor, A Marinescu, F Golpayegani, S Clarke Renewable and Sustainable Energy Reviews 80, 1528-1536, 2017 | 48 | 2017 |
| Maximizing renewable energy use with decentralized residential demand response I Dusparic, A Taylor, A Marinescu, V Cahill, S Clarke 2015 IEEE first international smart cities conference (ISC2), 1-6, 2015 | 47 | 2015 |
| Transfer Learning in Multi-Agent Systems through Parallel Transfer A Taylor, I Dusparic, E Galván-López, S Clarke, V Cahill Workshop on Theoretically Grounded Transfer Learning at the 30th …, 2013 | 41 | 2013 |
| Multi-agent collaboration for conflict management in residential demand response F Golpayegani, I Dusparic, A Taylor, S Clarke Computer Communications 96, 63-72, 2016 | 31 | 2016 |
| Parallel transfer learning in multi-agent systems: What, when and how to transfer? A Taylor, I Dusparic, M Guériau, S Clarke 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 26 | 2019 |
| Decentralised multi-agent reinforcement learning for dynamic and uncertain environments A Marinescu, I Dusparic, A Taylor, V Cahill, S Clarke arXiv preprint arXiv:1409.4561, 2014 | 20 | 2014 |
| P-MARL: Prediction-Based Multi-Agent Reinforcement Learning for Non-Stationary Environments. A Marinescu, I Dusparic, A Taylor, V Cahill, S Clarke AAMAS, 1897-1898, 2015 | 16 | 2015 |
| Design of an Automatic Demand-Side Management System Based on Evolutionary Algorithms E Galván-López, A Taylor, S Clarke, V Cahill Proceeding of the the 29th Annual ACM Symposium on Applied Computing,, 24-28, 2014 | 15 | 2014 |
| Optimising residential electric vehicle charging under renewable energy: multi‐agent learning in software simulation and hardware‐in‐the‐loop evaluation A Marinescu, A Taylor, S Clarke, I Serban, C Marinescu International Journal of Energy Research 43 (8), 3853-3868, 2019 | 10 | 2019 |
| Self-Organising Algorithms for Residential Demand A Taylor, I Dusparic, C Harris, A Marinescu, E Galván-López, ... | 6* | |
| Parallel Transfer Learning: Accelerating Reinforcement Learning in Multi-Agent Systems A Taylor | 3 | 2016 |
| Reputation-based trust management for distributed spectrum sensing SM Gonigle, Q Wang, M Wang, A Taylor, EO Nuallain Networks and Communications (NetCom2013) Proceedings of the Fifth …, 2014 | 3 | 2014 |
| Management and control of energy usage and price using participatory sensing data A Taylor, E Galván-Lopez, S Clarke, V Cahill 3rd International Workshop on Agent Technologies for Energy Systems (ATES …, 2012 | 3 | 2012 |
| Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding N Seedat, C Tozzi, AH Ardiaca, M van der Schaar, J Weatherall, A Taylor arXiv preprint arXiv:2411.13163, 2024 | | 2024 |
| Evaluation of reduced-risk insecticide and (or) fungicide seed treatments for control of onion smut [Urocystis cepulae] and onion maggot (Delia antiqua). ZM Moineddin, CD Scott-Dupree, CR Harris, AG Taylor, MR McDonald CANADIAN JOURNAL OF PLANT PATHOLOGY-REVUE CANADIENNE DE PHYTOPATHOLOGIE 28 …, 2006 | | 2006 |
Siobhan ClarkeProfessor of Software Systems, Trinity College DublinVerified email at tcd.ie
