Karl Mason

73 papers A* 1A 4B 1Misc 2Journal 44Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive scalarization in multi-objective reinforcement learning for enhanced robotic arm control.
Neurocomputing
Jonaid Shianifar, Michael Schukat, Karl Mason
2026 J jnl
D-SPEAR: Dual-Stream Prioritized Experience Adaptive Replay for Stable Reinforcement Learning in Robotic Manipulation.
CoRR
Yu Zhang, Karl Mason
2026 J jnl
Forecast Aware Deep Reinforcement Learning for Efficient Electricity Load Scheduling in Dairy Farms.
CoRR
Nawazish Ali, Rachael Shaw, Karl Mason
2026 J jnl
Hindsight Preference Replay Improves Preference-Conditioned Multi-Objective Reinforcement Learning.
CoRR
Jonaid Shianifar, Michael Schukat, Karl Mason
2026 J jnl
MO-CoERL: Multi-objective cooperative evolutionary deep reinforcement learning.
Inf. Sci.
Jonaid Shianifar, Michael Schukat, Karl Mason
2026 J jnl
MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learning.
Neurocomputing
Adam Callaghan, Karl Mason, Patrick Mannion
2026 J jnl
Predicting Long-Term Self-Rated Health in Small Areas Using Ordinal Regression and Microsimulation.
CoRR
Seán Caulfield Curley, Karl Mason, Patrick Mannion
2025 J jnl
BioLite U-Net: Edge-Deployable Semantic Segmentation for In Situ Bioprinting Monitoring.
CoRR
Usman Haider, Lukasz Szemet, Daniel Kelly, Vasileios Sergis, Andrew C. Daly, Karl Mason
2025 J jnl
Demonstration-Guided Continual Reinforcement Learning in Dynamic Environments.
CoRR
Xue Yang, Michael Schukat, Junlin Lu, Patrick Mannion, Karl Mason, Enda Howley
2025 J jnl
Extending Evolution-Guided Policy Gradient Learning into the multi-objective domain.
Neurocomputing
Adam Callaghan, Karl Mason, Patrick Mannion
2025 — ed.
Highlights in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection - International Workshops of PAAMS 2024, Salamanca, Spain, June 26-28, 2024, Proceedings
PAAMS (Workshops)
Alfonso González-Briones, Vicente Julián Inglada, Alia El Bolock, Cédric Marco-Detchart, Jaume Jordán, Karl Mason, Fernando Lopes, Nada Sharaf
2025 J jnl
Ireland in 2057: Projections using a Geographically Diverse Dynamic Microsimulation.
CoRR
Seán Caulfield Curley, Karl Mason, Patrick Mannion
2025 J jnl
MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learning.
CoRR
Adam Callaghan, Karl Mason, Patrick Mannion
2025 J jnl
Peer-to-Peer Energy Trading in Dairy Farms using Multi-Agent Reinforcement Learning.
CoRR
Mian Ibad Ali Shah, Marcos Eduardo Cruz Victorio, Maeve Duffy, Enda Barrett, Karl Mason
2025 A conf
Uncertainty-Aware Knowledge Transformers for Peer-to-Peer Energy Trading with Multi-Agent Reinforcement Learning.
ECAI
Mian Ibad Ali Shah, Enda Barrett, Karl Mason
2025 J jnl
Uncertainty-Aware Knowledge Transformers for Peer-to-Peer Energy Trading with Multi-Agent Reinforcement Learning.
CoRR
Mian Ibad Ali Shah, Enda Barrett, Karl Mason
2024 Misc conf
A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization.
PAAMS
Nawazish Ali, Rachael Shaw, Karl Mason
2024 J jnl
A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization.
CoRR
Nawazish Ali, Rachael Shaw, Karl Mason
2024 A conf
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Energy Management.
ECAI
Junlin Lu, Patrick Mannion, Karl Mason
2024 J jnl
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments.
CoRR
Junlin Lu, Patrick Mannion, Karl Mason
2024 J jnl
A Reinforcement Learning Approach to Dairy Farm Battery Management using Q Learning.
CoRR
Nawazish Ali, Abdul Wahid, Rachael Shaw, Karl Mason
2024 — ed.
Artificial Intelligence for Knowledge Management, Energy and Sustainability - 10th IFIP International Workshop on Artificial Intelligence for Knowledge Management, AI4KMES 2023, Krakow, Poland, September 30 - October 1, 2023, Revised Selected Papers
AI4KMES@ECAI
Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Abdul Wahid, Karl Mason
2024 — ed.
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I
ECAI Workshops (1)
Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova
2024 — ed.
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II
ECAI Workshops (2)
Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova
2024 J jnl
Demonstration Guided Multi-Objective Reinforcement Learning.
CoRR
Junlin Lu, Patrick Mannion, Karl Mason
2024 J jnl
Demonstration-Guided Multi-Objective Reinforcement Learning.
Trans. Mach. Learn. Res.
Junlin Lu, Patrick Mannion, Karl Mason
2024 J jnl
Go-Explore for Residential Energy Management.
CoRR
Junlin Lu, Patrick Mannion, Karl Mason
2024 J jnl
Inferring Preferences from Demonstrations in Multi-Objective Residential Energy Management.
CoRR
Junlin Lu, Patrick Mannion, Karl Mason
2024 J jnl
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning.
CoRR
Junlin Lu, Patrick Mannion, Karl Mason
2024 J jnl
Inferring preferences from demonstrations in multi-objective reinforcement learning.
Neural Comput. Appl.
Junlin Lu, Patrick Mannion, Karl Mason
2024 — conf
Lo-MARVE: A Low Cost Autonomous Underwater Vehicle for Marine Exploration.
ICCMA
Karl Mason, Daniel Kelly
2024 J jnl
Lo-MARVE: A Low Cost Autonomous Underwater Vehicle for Marine Exploration.
CoRR
Karl Mason, Daniel Kelly
2024 J jnl
Modelling Solar PV Adoption in Irish Dairy Farms using Agent-Based Modelling.
CoRR
Iias Faiud, Michael Schukat, Karl Mason
2024 J jnl
Multi-agent systems in Peer-to-Peer energy trading: A comprehensive survey.
Eng. Appl. Artif. Intell.
Mian Ibad Ali Shah, Abdul Wahid, Enda Barrett, Karl Mason
2024 — conf
Optimal Solar PV Site Identification Using AutoEncoders and Clustering.
PAAMS (Workshops)
Smitesh Patil, Abdul Wahid, Karl Mason
2024 — conf
Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control.
PAAMS (Workshops)
Jonaid Shianifar, Michael Schukat, Karl Mason
2024 J jnl
Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control.
CoRR
Jonaid Shianifar, Michael Schukat, Karl Mason
2024 J jnl
Peer-to-peer energy trading in dairy farms using multi-agent systems.
Comput. Electr. Eng.
Mian Ibad Ali Shah, Abdul Wahid, Enda Barrett, Karl Mason
2024 Misc conf
Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms.
PAAMS
Mian Ibad Ali Shah, Enda Barrett, Karl Mason
2024 J jnl
Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms.
CoRR
Mian Ibad Ali Shah, Enda Barrett, Karl Mason
2023 J jnl
A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming.
CoRR
Mian Ibad Ali Shah, Abdul Wahid, Enda Barrett, Karl Mason
2023 — conf
A Multi-agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming.
ECAI Workshops (2)
Mian Ibad Ali Shah, Abdul Wahid, Enda Barrett, Karl Mason
2023 — conf
An Overview of Artificial Intelligence for Electric Vehicle Energy Systems Integration.
ECAI Workshops (2)
Weiqi Hua, Daniel Mullen, Abdul Wahid, Khadija Sitabkhan, Karl Mason
2023 J jnl
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication.
CoRR
Adam Callaghan, Karl Mason, Patrick Mannion
2023 J jnl
Evolving Multi-Objective Neural Network Controllers for Robot Swarms.
CoRR
Karl Mason, Sabine Hauert
2023 — conf
Evolving Neural Networks for Robotic Arm Control.
EvoApplications@EvoStar
Anthony Horgan, Karl Mason
2023 — conf
Go-Explore for Residential Energy Management.
ECAI Workshops (2)
Junlin Lu, Patrick Mannion, Karl Mason
2023 J jnl
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach.
CoRR
Junlin Lu, Patrick Mannion, Karl Mason
2023 — conf
Integrating Artificial Intelligence into Electric Vehicle Energy Systems: A Survey.
AI4KMES@ECAI
Weiqi Hua, Daniel Mullen, Abdul Wahid, Khadija Sitabkhan, Karl Mason
2023 — conf
Integrating Renewable Energy in Agriculture: A Deep Reinforcement Learning-Based Approach.
PKDD/ECML Workshops (3)
Abdul Wahid, Iias Faiud, Karl Mason
2023 J jnl
Integrating Renewable Energy in Agriculture: A Deep Reinforcement Learning-based Approach.
CoRR
Abdul Wahid, Iias Faiud, Karl Mason
2023 A* conf
Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract).
AAAI
Seán Caulfield Curley, Karl Mason, Patrick Mannion
2023 A conf
Know Your Enemy: Identifying and Adapting to Adversarial Attacks in Deep Reinforcement Learning.
AAMAS
Seán Caulfield Curley, Karl Mason, Patrick Mannion
2023 — conf
Modelling Electricity Consumption in Irish Dairy Farms Using Agent-Based Modelling.
ECAI Workshops (2)
Hossein Khaleghy, Abdul Wahid, Eoghan Clifford, Karl Mason
2023 J jnl
Modelling Electricity Consumption in Irish Dairy Farms Using Agent-Based Modelling.
CoRR
Hossein Khaleghy, Abdul Wahid, Eoghan Clifford, Karl Mason
2023 — conf
Modelling Solar PV Adoption in Irish Dairy Farms Using Agent-Based Modelling.
PKDD/ECML Workshops (3)
Iias Faiud, Karl Mason, Michael Schukat
2023 — conf
Reinforcement Learning for Battery Management in Dairy Farming.
ECAI Workshops (2)
Nawazish Ali, Abdul Wahid, Rachael Shaw, Karl Mason
2023 J jnl
Reinforcement Learning for Battery Management in Dairy Farming.
CoRR
Nawazish Ali, Abdul Wahid, Rachael Shaw, Karl Mason
2023 J jnl
Special issue on evolutionary machine learning.
Knowl. Eng. Rev.
Karl Mason, Patrick Mannion
2021 B conf
Building HVAC Control via Neural Networks and Natural Evolution Strategies.
CEC
Karl Mason, Santiago Grijalva
2019 J jnl
A Review of Reinforcement Learning for Autonomous Building Energy Management.
CoRR
Karl Mason, Santiago Grijalva
2019 J jnl
A review of reinforcement learning for autonomous building energy management.
Comput. Electr. Eng.
Karl Mason, Santiago Grijalva
2019 — conf
An "On The Fly" Framework for Efficiently Generating Synthetic Big Data Sets.
IEEE BigData
Karl Mason, Sadegh Vejdan, Santiago Grijalva
2019 J jnl
An "On The Fly" Framework for Efficiently Generating Synthetic Big Data Sets.
CoRR
Karl Mason, Sadegh Vejdan, Santiago Grijalva
2018 J jnl
A meta optimisation analysis of particle swarm optimisation velocity update equations for watershed management learning.
Appl. Soft Comput.
Karl Mason, Jim Duggan, Enda Howley
2018 J jnl
Predicting host CPU utilization in the cloud using evolutionary neural networks.
Future Gener. Comput. Syst.
Karl Mason, Martin Duggan, Enda Barrett, Jim Duggan, Enda Howley
2017 — conf
Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch.
GECCO (Companion)
Karl Mason, Jim Duggan, Enda Howley
2017 J jnl
Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants.
Neurocomputing
Karl Mason, Jim Duggan, Enda Howley
2017 — conf
Neural network topology and weight optimization through neuro differential evolution.
GECCO (Companion)
Karl Mason, Jim Duggan, Enda Howley
2017 J jnl
Policy invariance under reward transformations for multi-objective reinforcement learning.
Neurocomputing
Patrick Mannion, Sam Devlin, Karl Mason, Jim Duggan, Enda Howley
2017 — conf
Predicting host CPU utilization in cloud computing using recurrent neural networks.
ICITST
Martin Duggan, Karl Mason, Jim Duggan, Enda Howley, Enda Barrett
2016 A conf
Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning: (Extended Abstract).
AAMAS
Patrick Mannion, Karl Mason, Sam Devlin, Jim Duggan, Enda Howley
2015 — conf
Avoidance Strategies in Particle Swarm Optimisation.
MENDEL
Karl Mason, Enda Howley