Karl Mason

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 41

Top Topics

Battery Management

Reinforcement Learning

Particle Swarm Optimisation

Top Venues

ECAI Workshops (2)

GECCO (Companion)

Publications

Mian Ibad Ali Shah, Abdul Wahid, Enda Barrett, Karl Mason
Peer-to-peer energy trading in dairy farms using multi-agent systems. Comput. Electr. Eng. 118 (2024)
Junlin Lu, Patrick Mannion, Karl Mason
Demonstration Guided Multi-Objective Reinforcement Learning. CoRR (2024)
Junlin Lu, Patrick Mannion, Karl Mason
Go-Explore for Residential Energy Management. CoRR (2024)
Mian Ibad Ali Shah, Enda Barrett, Karl Mason
Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms. CoRR (2024)
Nawazish Ali, Rachael Shaw, Karl Mason
A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization. CoRR (2024)
Junlin Lu, Patrick Mannion, Karl Mason
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments. CoRR (2024)
Iias Faiud, Michael Schukat, Karl Mason
Modelling Solar PV Adoption in Irish Dairy Farms using Agent-Based Modelling. CoRR (2024)
Jonaid Shianifar, Michael Schukat, Karl Mason
Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control. CoRR (2024)
Mian Ibad Ali Shah, Abdul Wahid, Enda Barrett, Karl Mason
Multi-agent systems in Peer-to-Peer energy trading: A comprehensive survey. Eng. Appl. Artif. Intell. 132 (2024)
Nawazish Ali, Abdul Wahid, Rachael Shaw, Karl Mason
A Reinforcement Learning Approach to Dairy Farm Battery Management using Q Learning. 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)
Karl Mason, Patrick Mannion
Special issue on evolutionary machine learning. Knowl. Eng. Rev. 38 (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)
Weiqi Hua, Daniel Mullen, Abdul Wahid, Khadija Sitabkhan, Karl Mason
Integrating Artificial Intelligence into Electric Vehicle Energy Systems: A Survey. AI4KMES@ECAI (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)