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Adam Taylor
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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
492014
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
382017
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
362013
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
352015
Multi-agent collaboration for conflict management in residential demand response
F Golpayegani, I Dusparic, A Taylor, S Clarke
Computer Communications 96, 63-72, 2016
222016
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
152014
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
142015
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
142014
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
122019
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
62019
Self-organising algorithms for residential demand response
A Taylor, I Dusparic, C Harris, A Marinescu, E Galván-López, ...
2014 IEEE Conference on Technologies for Sustainability (SusTech), 55-60, 2014
52014
Self-Organising Algorithms for Residential Demand
A Taylor, I Dusparic, C Harris, A Marinescu, E Galván-López, ...
5*
Parallel Transfer Learning: Accelerating Reinforcement Learning in Multi-Agent Systems
A Taylor
32016
Reputation-based trust management for distributed spectrum sensing
SM Gonigle, Q Wang, M Wang, A Taylor, EO Nuallain
Networks and Communications (NetCom2013), 255-264, 2014
32014
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
32012
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Articles 1–15