Karl Mason

According to our database, Karl Mason authored at least 28 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Reinforcement Learning Approach to Dairy Farm Battery Management using Q Learning.

Nawazish Ali, Abdul Wahid, Rachael Shaw, Karl Mason

CoRR, 2024

Modelling Solar PV Adoption in Irish Dairy Farms using Agent-Based Modelling.

Iias Faiud, Michael Schukat, Karl Mason

CoRR, 2024

Inferring Preferences from Demonstrations in Multi-Objective Residential Energy Management.

Junlin Lu, Patrick Mannion, Karl Mason

CoRR, 2024

2023

Special issue on evolutionary machine learning.

Karl Mason, Patrick Mannion

Knowl. Eng. Rev., 2023

Integrating Renewable Energy in Agriculture: A Deep Reinforcement Learning-based Approach.

Abdul Wahid, Iias Faiud, Karl Mason

CoRR, 2023

Evolving Multi-Objective Neural Network Controllers for Robot Swarms.

Karl Mason, Sabine Hauert

CoRR, 2023

Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication.

Adam Callaghan, Karl Mason, Patrick Mannion

CoRR, 2023

Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach.

Junlin Lu, Patrick Mannion, Karl Mason

CoRR, 2023

Evolving Neural Networks for Robotic Arm Control.

Anthony Horgan, Karl Mason

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

A Multi-agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming.

Mian Ibad Ali Shah, Abdul Wahid, Enda Barrett, Karl Mason

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Go-Explore for Residential Energy Management.

Junlin Lu, Patrick Mannion, Karl Mason

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Modelling Electricity Consumption in Irish Dairy Farms Using Agent-Based Modelling.

Hossein Khaleghy, Abdul Wahid, Eoghan Clifford, Karl Mason

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

An Overview of Artificial Intelligence for Electric Vehicle Energy Systems Integration.

Weiqi Hua, Daniel Mullen, Abdul Wahid, Khadija Sitabkhan, Karl Mason

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Reinforcement Learning for Battery Management in Dairy Farming.

Nawazish Ali, Abdul Wahid, Rachael Shaw, Karl Mason

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Know Your Enemy: Identifying and Adapting to Adversarial Attacks in Deep Reinforcement Learning.

Seán Caulfield Curley, Karl Mason, Patrick Mannion

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract).

Seán Caulfield Curley, Karl Mason, Patrick Mannion

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Building HVAC Control via Neural Networks and Natural Evolution Strategies.

Karl Mason, Santiago Grijalva

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2019

A review of reinforcement learning for autonomous building energy management.

Karl Mason, Santiago Grijalva

Comput. Electr. Eng., 2019

An "On The Fly" Framework for Efficiently Generating Synthetic Big Data Sets.

Karl Mason, Sadegh Vejdan, Santiago Grijalva

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Predicting host CPU utilization in the cloud using evolutionary neural networks.

Karl Mason, Martin Duggan, Enda Barrett, Jim Duggan, Enda Howley

Future Gener. Comput. Syst., 2018

A meta optimisation analysis of particle swarm optimisation velocity update equations for watershed management learning.

Karl Mason, Jim Duggan, Enda Howley

Appl. Soft Comput., 2018

2017

Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants.

Karl Mason, Jim Duggan, Enda Howley

Neurocomputing, 2017

Policy invariance under reward transformations for multi-objective reinforcement learning.

Patrick Mannion, Sam Devlin, Karl Mason, Jim Duggan, Enda Howley

Neurocomputing, 2017

Predicting host CPU utilization in cloud computing using recurrent neural networks.

Martin Duggan, Karl Mason, Jim Duggan, Enda Howley, Enda Barrett

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.

Karl Mason, Jim Duggan, Enda Howley

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Neural network topology and weight optimization through neuro differential evolution.

Karl Mason, Jim Duggan, Enda Howley

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning: (Extended Abstract).

Patrick Mannion, Karl Mason, Sam Devlin, Jim Duggan, Enda Howley

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Avoidance Strategies in Particle Swarm Optimisation.

Karl Mason, Enda Howley

Proceedings of the Mendel 2015, 2015