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Karl Mason
ORCID
Publication Activity (10 Years)
Years Active: 2013-2024
Publications (10 Years): 31
Top Topics
Energy Management
Reinforcement Learning
Neural Network
Particle Swarm Optimisation
Top Venues
CoRR
ECAI Workshops (2)
GECCO (Companion)
AAMAS
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Publications
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Junlin Lu
,
Patrick Mannion
,
Karl Mason
Go-Explore for Residential Energy Management.
CoRR
(2024)
Iias Faiud
,
Michael Schukat
,
Karl Mason
Modelling Solar PV Adoption in Irish Dairy Farms using Agent-Based Modelling.
CoRR
(2024)
Junlin Lu
,
Patrick Mannion
,
Karl Mason
Inferring Preferences from Demonstrations in Multi-Objective Residential Energy Management.
CoRR
(2024)
Mian Ibad Ali Shah
,
Abdul Wahid
,
Enda Barrett
,
Karl Mason
A Multi-agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming.
ECAI Workshops (2)
(2023)
Abdul Wahid
,
Iias Faiud
,
Karl Mason
Integrating Renewable Energy in Agriculture: A Deep Reinforcement Learning-based Approach.
CoRR
(2023)
Nawazish Ali
,
Abdul Wahid
,
Rachael Shaw
,
Karl Mason
Reinforcement Learning for Battery Management in Dairy Farming.
ECAI Workshops (2)
(2023)
Mian Ibad Ali Shah
,
Abdul Wahid
,
Enda Barrett
,
Karl Mason
A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming.
CoRR
(2023)
Hossein Khaleghy
,
Abdul Wahid
,
Eoghan Clifford
,
Karl Mason
Modelling Electricity Consumption in Irish Dairy Farms Using Agent-Based Modelling.
ECAI Workshops (2)
(2023)
Karl Mason
,
Sabine Hauert
Evolving Multi-Objective Neural Network Controllers for Robot Swarms.
CoRR
(2023)
Seán Caulfield Curley
,
Karl Mason
,
Patrick Mannion
Know Your Enemy: Identifying and Adapting to Adversarial Attacks in Deep Reinforcement Learning.
AAMAS
(2023)
Hossein Khaleghy
,
Abdul Wahid
,
Eoghan Clifford
,
Karl Mason
Modelling Electricity Consumption in Irish Dairy Farms Using Agent-Based Modelling.
CoRR
(2023)
Weiqi Hua
,
Daniel Mullen
,
Abdul Wahid
,
Khadija Sitabkhan
,
Karl Mason
An Overview of Artificial Intelligence for Electric Vehicle Energy Systems Integration.
ECAI Workshops (2)
(2023)
Nawazish Ali
,
Abdul Wahid
,
Rachael Shaw
,
Karl Mason
Reinforcement Learning for Battery Management in Dairy Farming.
CoRR
(2023)
Seán Caulfield Curley
,
Karl Mason
,
Patrick Mannion
Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract).
AAAI
(2023)
Adam Callaghan
,
Karl Mason
,
Patrick Mannion
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication.
CoRR
(2023)
Junlin Lu
,
Patrick Mannion
,
Karl Mason
Go-Explore for Residential Energy Management.
ECAI Workshops (2)
(2023)
Junlin Lu
,
Patrick Mannion
,
Karl Mason
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach.
CoRR
(2023)
Karl Mason
,
Santiago Grijalva
Building HVAC Control via Neural Networks and Natural Evolution Strategies.
CEC
(2021)
Karl Mason
,
Santiago Grijalva
A review of reinforcement learning for autonomous building energy management.
Comput. Electr. Eng.
78 (2019)
Karl Mason
,
Santiago Grijalva
A Review of Reinforcement Learning for Autonomous Building Energy Management.
CoRR
(2019)
Karl Mason
,
Sadegh Vejdan
,
Santiago Grijalva
An "On The Fly" Framework for Efficiently Generating Synthetic Big Data Sets.
IEEE BigData
(2019)
Karl Mason
,
Sadegh Vejdan
,
Santiago Grijalva
An "On The Fly" Framework for Efficiently Generating Synthetic Big Data Sets.
CoRR
(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)
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)
Karl Mason
,
Jim Duggan
,
Enda Howley
Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants.
Neurocomputing
270 (2017)
Martin Duggan
,
Karl Mason
,
Jim Duggan
,
Enda Howley
,
Enda Barrett
Predicting host CPU utilization in cloud computing using recurrent neural networks.
ICITST
(2017)
Patrick Mannion
,
Karl Mason
,
Sam Devlin
,
Jim Duggan
,
Enda Howley
Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning: (Extended Abstract).
AAMAS
(2016)
Karl Mason
,
Enda Howley
Avoidance Strategies in Particle Swarm Optimisation.
MENDEL
(2015)
Anthony Horgan
,
Karl Mason
Evolving Neural Networks for Robotic Arm Control.
EvoApplications@EvoStar
(2013)