Enda Howley
Orcid: 0000-0003-2687-4630
According to our database1,
Enda Howley
authored at least 67 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning.
CoRR, 2024
2023
Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning.
Auton. Agents Multi Agent Syst., October, 2023
A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering.
ACM Trans. Auton. Adapt. Syst., June, 2023
Seismic data IO and sorting optimization in HPC through ANNs prediction based auto-tuning for ExSeisDat.
Neural Comput. Appl., March, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers.
Inf. Syst., 2022
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models.
CoRR, 2022
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning.
CoRR, 2022
Applying neural networks to predict HPC-I/O bandwidth over seismic data on lustre file system for ExSeisDat.
Clust. Comput., 2022
Auton. Agents Multi Agent Syst., 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making.
CoRR, 2021
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search.
CoRR, 2021
Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
2020
An intelligent ensemble learning approach for energy efficient and interference aware dynamic virtual machine consolidation.
Simul. Model. Pract. Theory, 2020
Dynamic virtual machine consolidation using a multi-agent system to optimise energy efficiency in cloud computing.
Future Gener. Comput. Syst., 2020
Bioinform., 2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
2019
A multitime-steps-ahead prediction approach for scheduling live migration in cloud data centers.
Softw. Pract. Exp., 2019
An energy efficient anti-correlated virtual machine placement algorithm using resource usage predictions.
Simul. Model. Pract. Theory, 2019
An Energy Efficient and Interference Aware Virtual Machine Consolidation Algorithm Using Workload Classification.
Proceedings of the Service-Oriented Computing - 17th International Conference, 2019
2018
Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning.
Knowl. Eng. Rev., 2018
Future Gener. Comput. Syst., 2018
A meta optimisation analysis of particle swarm optimisation velocity update equations for watershed management learning.
Appl. Soft Comput., 2018
A Predictive Anti-Correlated Virtual Machine Placement Algorithm for Green Cloud Computing.
Proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing, 2018
2017
A reinforcement learning approach for the scheduling of live migration from under utilised hosts.
Memetic Comput., 2017
Knowl. Eng. Rev., 2017
Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants.
Neurocomputing, 2017
Policy invariance under reward transformations for multi-objective reinforcement learning.
Neurocomputing, 2017
Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning.
CoRR, 2017
A network aware approach for the scheduling of virtual machine migration during peak loads.
Clust. Comput., 2017
Predicting the Available Bandwidth on Intra Cloud Network Links for Deadline Constrained Workflow Scheduling in Public Clouds.
Proceedings of the Service-Oriented Computing - 15th International Conference, 2017
An advanced reinforcement learning approach for energy-aware virtual machine consolidation in cloud data centers.
Proceedings of the 12th International Conference for Internet Technology and Secured Transactions, 2017
Proceedings of the 12th International Conference for Internet Technology and Secured Transactions, 2017
Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Neural network topology and weight optimization through neuro differential evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
A Theoretical and Empirical Analysis of Reward Transformations in Multi-Objective Stochastic Games.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
2016
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016
Proceedings of the 2016 International Conference on Cloud and Autonomic Computing, 2016
Proceedings of the 6th International Conference on Digital Health Conference, 2016
Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
An Experimental Review of Reinforcement Learning Algorithms for Adaptive Traffic Signal Control.
Proceedings of the Autonomic Road Transport Support Systems, 2016
2015
Proceedings of the Mendel 2015, 2015
Proceedings of the 6th International Conference on Ambient Systems, 2015
2014
Proceedings of the Swarm Intelligence - 9th International Conference, 2014
2013
Applying reinforcement learning towards automating resource allocation and application scalability in the cloud.
Concurr. Comput. Pract. Exp., 2013
2011
The influence of random interactions and decision heuristics on norm evolution in social networks.
Comput. Math. Organ. Theory, 2011
Adv. Complex Syst., 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 9th IEEE European Conference on Web Services, 2011
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011
2010
The Impact of Market Preferences on the Evolution of Market Price and Product Quality.
Proceedings of The Multi-Agent Logics, Languages, and Organisations Federated Workshops (MALLOW 2010), Lyon, France, August 30, 2010
2009
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Proceedings of the Adaptive and Learning Agents, Second Workshop, 2009
Proceedings of the Artificial Intelligence and Cognitive Science - 20th Irish Conference, 2009
2008
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008
2007
Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007
2006
Artif. Intell. Rev., 2006
The Effects and Evolution of Implicit Trust in Populations Playing the Iterated Prisoner's Dilemma.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005