Enda Howley

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 51

Top Topics

Particle Swarm Optimisation

Virtual Machine

Reinforcement Learning

Top Venues

Knowl. Eng. Rev.

Publications

Peter Vamplew, Cameron Foale, Conor F. Hayes, Patrick Mannion, Enda Howley, Richard Dazeley, Scott Johnson, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Willem Röpke, Diederik M. Roijers
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. CoRR (2024)
Peter Vamplew, Cameron Foale, Conor F. Hayes, Patrick Mannion, Enda Howley, Richard Dazeley, Scott Johnson, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Willem Röpke, Diederik M. Roijers
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. AAMAS (2024)
Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. Expert Syst. Appl. 249 (2024)
Xue Yang, Enda Howley, Michael Schukat
ADT: Time series anomaly detection for cyber-physical systems via deep reinforcement learning. Comput. Secur. 141 (2024)
Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, Diederik M. Roijers
Distributional Multi-Objective Decision Making. IJCAI (2023)
Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
A Brief Guide to Multi-Objective Reinforcement Learning and Planning. AAMAS (2023)
Nicola Mc Donnell, Jim Duggan, Enda Howley
A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering. ACM Trans. Auton. Adapt. Syst. 18 (2) (2023)
Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, Diederik M. Roijers
Distributional Multi-Objective Decision Making. CoRR (2023)
Abdul Jabbar Saeed Tipu, Padraig Ó Conbhuí, Enda Howley
Seismic data IO and sorting optimization in HPC through ANNs prediction based auto-tuning for ExSeisDat. Neural Comput. Appl. 35 (8) (2023)
Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning. Auton. Agents Multi Agent Syst. 37 (2) (2023)
Xue Yang, Enda Howley, Michael Schukat
ADT: Agent-based Dynamic Thresholding for Anomaly Detection. CoRR (2023)
Rachael Shaw, Enda Howley, Enda Barrett
Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers. Inf. Syst. 107 (2022)
Conor F. Hayes, Diederik M. Roijers, Enda Howley, Patrick Mannion
Decision-Theoretic Planning for the Expected Scalarised Returns. AAMAS (2022)
Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning. CoRR (2022)
Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
A practical guide to multi-objective reinforcement learning and planning. Auton. Agents Multi Agent Syst. 36 (1) (2022)
Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. CoRR (2022)
Abdul Jabbar Saeed Tipu, Padraig Ó Conbhuí, Enda Howley
Applying neural networks to predict HPC-I/O bandwidth over seismic data on lustre file system for ExSeisDat. Clust. Comput. 25 (4) (2022)
Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models. CoRR (2022)
Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
A Practical Guide to Multi-Objective Reinforcement Learning and Planning. CoRR (2021)
Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion
Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making. CoRR (2021)
Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning. AAMAS (2021)
Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search. CoRR (2021)
Nicola Mc Donnell, Enda Howley, Jim Duggan
Dynamic virtual machine consolidation using a multi-agent system to optimise energy efficiency in cloud computing. Future Gener. Comput. Syst. 108 (2020)
Rachael Shaw, Enda Howley, Enda Barrett
An intelligent ensemble learning approach for energy efficient and interference aware dynamic virtual machine consolidation. Simul. Model. Pract. Theory 102 (2020)
Nicola Mc Donnell, Enda Howley, Jim Duggan
Evolved Gossip Contracts - A Framework for Designing Multi-agent Systems. PPSN (1) (2020)
Kevin McDonnell, Nicholas Waters, Enda Howley, Florence Abram
Chordomics: a visualization tool for linking function to phylogeny in microbiomes. Bioinform. 36 (4) (2020)
Martin Duggan, Rachael Shaw, Jim Duggan, Enda Howley, Enda Barrett
A multitime-steps-ahead prediction approach for scheduling live migration in cloud data centers. Softw. Pract. Exp. 49 (4) (2019)
Rachael Shaw, Enda Howley, Enda Barrett
An Energy Efficient and Interference Aware Virtual Machine Consolidation Algorithm Using Workload Classification. ICSOC (2019)
Rachael Shaw, Enda Howley, Enda Barrett
An energy efficient anti-correlated virtual machine placement algorithm using resource usage predictions. Simul. Model. Pract. Theory 93 (2019)
Karl Mason, Martin Duggan, Enda Barrett, Jim Duggan, Enda Howley
Predicting host CPU utilization in the cloud using evolutionary neural networks. Future Gener. Comput. Syst. 86 (2018)
Karl Mason, Jim Duggan, Enda Howley
A meta optimisation analysis of particle swarm optimisation velocity update equations for watershed management learning. Appl. Soft Comput. 62 (2018)
Patrick Mannion, Sam Devlin, Jim Duggan, Enda Howley
Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning. Knowl. Eng. Rev. 33 (2018)
Rachael Shaw, Enda Howley, Enda Barrett
A Predictive Anti-Correlated Virtual Machine Placement Algorithm for Green Cloud Computing. UCC (2018)
Seyed Sajad Mousavi, Michael Schukat, Enda Howley
Deep Reinforcement Learning: An Overview. CoRR (2018)
Karl Mason, Jim Duggan, Enda Howley
Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch. GECCO (Companion) (2017)
Karl Mason, Jim Duggan, Enda Howley
Neural network topology and weight optimization through neuro differential evolution. GECCO (Companion) (2017)
Patrick Mannion, Sam Devlin, Karl Mason, Jim Duggan, Enda Howley
Policy invariance under reward transformations for multi-objective reinforcement learning. Neurocomputing 263 (2017)
Rachael Shaw, Enda Howley, Enda Barrett
Predicting the Available Bandwidth on Intra Cloud Network Links for Deadline Constrained Workflow Scheduling in Public Clouds. ICSOC (2017)
Karl Mason, Jim Duggan, Enda Howley
Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants. Neurocomputing 270 (2017)
Patrick Mannion, Sam Devlin, Jim Duggan, Enda Howley
Multi-agent credit assignment in stochastic resource management games. Knowl. Eng. Rev. 32 (2017)
Rachael Shaw, Enda Howley, Enda Barrett
An advanced reinforcement learning approach for energy-aware virtual machine consolidation in cloud data centers. ICITST (2017)
Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett
A network aware approach for the scheduling of virtual machine migration during peak loads. Clust. Comput. 20 (3) (2017)
Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett
A reinforcement learning approach for the scheduling of live migration from under utilised hosts. Memetic Comput. 9 (4) (2017)
Patrick Mannion, Jim Duggan, Enda Howley
A Theoretical and Empirical Analysis of Reward Transformations in Multi-Objective Stochastic Games. AAMAS (2017)
Seyed Sajad Mousavi, Michael Schukat, Peter Corcoran, Enda Howley
Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning. CoRR (2017)
Martin Duggan, Karl Mason, Jim Duggan, Enda Howley, Enda Barrett
Predicting host CPU utilization in cloud computing using recurrent neural networks. ICITST (2017)
Peter Vrancx, Enda Howley, Matt Knudson
Preface to the special issue: adaptive learning agents. Knowl. Eng. Rev. 31 (1) (2016)
Seyed Sajad Mousavi, Michael Schukat, Enda Howley
Deep Reinforcement Learning: An Overview. IntelliSys (2) (2016)
Martina Curran, Enda Howley, Jim Duggan
An Analytics Framework to Support Surge Capacity Planning for Emerging Epidemics. Digital Health (2016)
Patrick Mannion, Karl Mason, Sam Devlin, Jim Duggan, Enda Howley
Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning: (Extended Abstract). AAMAS (2016)
Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett
An Autonomous Network Aware VM Migration Strategy in Cloud Data Centres. ICCAC (2016)
Patrick Mannion, Jim Duggan, Enda Howley
Parallel Reinforcement Learning for Traffic Signal Control. ANT/SEIT (2015)
Karl Mason, Enda Howley
Avoidance Strategies in Particle Swarm Optimisation. MENDEL (2015)
Sam Devlin, Daniel Hennes, Enda Howley
Preface to the special issue: Adaptive Learning Agents Part 2. Connect. Sci. 26 (2) (2014)
Ian Broderick, Enda Howley
Particle Swarm Optimisation with Enhanced Memory Particles. ANTS Conference (2014)
Enda Barrett, Jim Duggan, Enda Howley
A parallel framework for Bayesian reinforcement learning. Connect. Sci. 26 (1) (2014)
Sam Devlin, Daniel Hennes, Enda Howley
Preface to the special issue: Adaptive Learning Agents, Part 1. Connect. Sci. 26 (1) (2014)
Enda Barrett, Enda Howley, Jim Duggan
Applying reinforcement learning towards automating resource allocation and application scalability in the cloud. Concurr. Comput. Pract. Exp. 25 (12) (2013)
Enda Howley, Jim Duggan
Investing in the Commons: a Study of Openness and the Emergence of Cooperation. Adv. Complex Syst. 14 (2) (2011)
Declan Mungovan, Enda Howley, Jim Duggan
The influence of random interactions and decision heuristics on norm evolution in social networks. Comput. Math. Organ. Theory 17 (2) (2011)
Enda Howley, Jim Duggan
Tag-based cooperation in N-player dilemmas. AAMAS (2011)
Enda Barrett, Enda Howley, Jim Duggan
A Learning Architecture for Scheduling Workflow Applications in the Cloud. ECOWS (2011)
Hongliang Liu, Enda Howley, Jim Duggan
Particle swarm optimisation with gradually increasing directed neighbourhoods. GECCO (2011)
Hongliang Liu, Enda Howley, Jim Duggan
The Impact of Market Preferences on the Evolution of Market Price and Product Quality. MALLOW (2010)
Enda Howley, Jim Duggan
The Effects of Evolved Sociability in a Commons Dilemma. ALA (2009)
Declan Mungovan, Enda Howley, Jim Duggan
Norm Convergence in Populations of Dynamically Interacting Agents. AICS (2009)
Hongliang Liu, Enda Howley, Jim Duggan
Optimisation of the Beer Distribution Game with complex customer demand patterns. IEEE Congress on Evolutionary Computation (2009)
Enda Barrett, Enda Howley, Jim Duggan
Evolving Group Coordination in an N-Player Game. ECAL (1) (2009)
Enda Howley, Colm O'Riordan
The Effects of Payoff Preferences on Agent Tolerance. ALIFE (2008)
Enda Howley, Colm O'Riordan
Agent Interactions and Implicit Trust in IPD Environments. Adaptive Agents and Multi-Agents Systems (2007)
Enda Howley, Colm O'Riordan
The effects of viscosity in choice and refusal IPD environments. Artif. Intell. Rev. 26 (1-2) (2006)
Enda Howley, Colm O'Riordan
The Effects and Evolution of Implicit Trust in Populations Playing the Iterated Prisoner's Dilemma. IEEE Congress on Evolutionary Computation (2006)
Enda Howley, Colm O'Riordan
The emergence of cooperation among agents using simple fixed bias tagging. Congress on Evolutionary Computation (2005)