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ORCIDKarl Mason
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2020 – today
- 2024
[j8]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: 109437 (2024)- [j7]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: 107847 (2024) - [c19]Junlin Lu, Patrick Mannion, Karl Mason:
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Energy Management. ECAI 2024: 2814-2821 - [c18]Nawazish Ali, Rachael Shaw, Karl Mason:
A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization. PAAMS 2024: 15-26 - [c17]Mian Ibad Ali Shah, Enda Barrett, Karl Mason:
Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms. PAAMS 2024: 27-38 - [e3]Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Abdul Wahid, Karl Mason:
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. IFIP Advances in Information and Communication Technology 693, Springer 2024, ISBN 978-3-031-61068-4 [contents] - [e2]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:
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. Communications in Computer and Information Science 1947, Springer 2024, ISBN 978-3-031-50395-5 [contents] - [e1]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:
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. Communications in Computer and Information Science 1948, Springer 2024, ISBN 978-3-031-50484-6 [contents] - [i19]Junlin Lu, Patrick Mannion, Karl Mason:
Go-Explore for Residential Energy Management. CoRR abs/2401.07710 (2024) - [i18]Junlin Lu, Patrick Mannion, Karl Mason:
Inferring Preferences from Demonstrations in Multi-Objective Residential Energy Management. CoRR abs/2401.07722 (2024) - [i17]Iias Faiud, Michael Schukat, Karl Mason:
Modelling Solar PV Adoption in Irish Dairy Farms using Agent-Based Modelling. CoRR abs/2401.16222 (2024) - [i16]Nawazish Ali, Abdul Wahid, Rachael Shaw, Karl Mason:
A Reinforcement Learning Approach to Dairy Farm Battery Management using Q Learning. CoRR abs/2403.09499 (2024) - [i15]Junlin Lu, Patrick Mannion, Karl Mason:
Demonstration Guided Multi-Objective Reinforcement Learning. CoRR abs/2404.03997 (2024) - [i14]Mian Ibad Ali Shah, Enda Barrett, Karl Mason:
Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms. CoRR abs/2405.12716 (2024) - [i13]Nawazish Ali, Rachael Shaw, Karl Mason:
A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization. CoRR abs/2407.01653 (2024) - [i12]Jonaid Shianifar, Michael Schukat, Karl Mason:
Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control. CoRR abs/2407.02503 (2024) - [i11]Junlin Lu, Patrick Mannion, Karl Mason:
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments. CoRR abs/2407.11489 (2024) - [i10]Junlin Lu, Patrick Mannion, Karl Mason:
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning. CoRR abs/2409.20258 (2024) - 2023
- [j6]Karl Mason, Patrick Mannion:
Special issue on evolutionary machine learning. Knowl. Eng. Rev. 38 (2023) - [c16]Seán Caulfield Curley, Karl Mason, Patrick Mannion:
Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract). AAAI 2023: 16176-16177 - [c15]Weiqi Hua, Daniel Mullen, Abdul Wahid, Khadija Sitabkhan, Karl Mason:
Integrating Artificial Intelligence into Electric Vehicle Energy Systems: A Survey. AI4KMES@ECAI 2023: 92-115 - [c14]Seán Caulfield Curley, Karl Mason, Patrick Mannion:
Know Your Enemy: Identifying and Adapting to Adversarial Attacks in Deep Reinforcement Learning. AAMAS 2023: 2813-2814 - [c13]Junlin Lu, Patrick Mannion, Karl Mason:
Go-Explore for Residential Energy Management. ECAI Workshops (2) 2023: 133-139 - [c12]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: 178-186 - [c11]Hossein Khaleghy, Abdul Wahid, Eoghan Clifford, Karl Mason:
Modelling Electricity Consumption in Irish Dairy Farms Using Agent-Based Modelling. ECAI Workshops (2) 2023: 230-237 - [c10]Nawazish Ali, Abdul Wahid, Rachael Shaw, Karl Mason:
Reinforcement Learning for Battery Management in Dairy Farming. ECAI Workshops (2) 2023: 246-253 - [c9]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: 254-261 - [c8]Anthony Horgan, Karl Mason:
Evolving Neural Networks for Robotic Arm Control. EvoApplications@EvoStar 2023: 591-607 - [i9]Junlin Lu, Patrick Mannion, Karl Mason:
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach. CoRR abs/2304.14115 (2023) - [i8]Adam Callaghan, Karl Mason, Patrick Mannion:
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication. CoRR abs/2306.11535 (2023) - [i7]Karl Mason, Sabine Hauert:
Evolving Multi-Objective Neural Network Controllers for Robot Swarms. CoRR abs/2307.14237 (2023) - [i6]Abdul Wahid, Iias Faiud, Karl Mason:
Integrating Renewable Energy in Agriculture: A Deep Reinforcement Learning-based Approach. CoRR abs/2308.08611 (2023) - [i5]Nawazish Ali, Abdul Wahid, Rachael Shaw, Karl Mason:
Reinforcement Learning for Battery Management in Dairy Farming. CoRR abs/2308.09023 (2023) - [i4]Hossein Khaleghy, Abdul Wahid, Eoghan Clifford, Karl Mason:
Modelling Electricity Consumption in Irish Dairy Farms Using Agent-Based Modelling. CoRR abs/2308.09488 (2023) - [i3]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 abs/2310.05932 (2023) - 2021
- [c7]Karl Mason, Santiago Grijalva:
Building HVAC Control via Neural Networks and Natural Evolution Strategies. CEC 2021: 2483-2490
2010 – 2019
- 2019
- [j5]Karl Mason, Santiago Grijalva:
A review of reinforcement learning for autonomous building energy management. Comput. Electr. Eng. 78: 300-312 (2019) - [c6]Karl Mason, Sadegh Vejdan, Santiago Grijalva:
An "On The Fly" Framework for Efficiently Generating Synthetic Big Data Sets. IEEE BigData 2019: 3379-3387 - [i2]Karl Mason, Santiago Grijalva:
A Review of Reinforcement Learning for Autonomous Building Energy Management. CoRR abs/1903.05196 (2019) - [i1]Karl Mason, Sadegh Vejdan, Santiago Grijalva:
An "On The Fly" Framework for Efficiently Generating Synthetic Big Data Sets. CoRR abs/1903.06798 (2019) - 2018
- [j4]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: 148-161 (2018) - [j3]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: 162-173 (2018) - 2017
- [j2]Patrick Mannion, Sam Devlin, Karl Mason, Jim Duggan, Enda Howley:
Policy invariance under reward transformations for multi-objective reinforcement learning. Neurocomputing 263: 60-73 (2017) - [j1]Karl Mason, Jim Duggan, Enda Howley:
Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants. Neurocomputing 270: 188-197 (2017) - [c5]Karl Mason, Jim Duggan, Enda Howley:
Neural network topology and weight optimization through neuro differential evolution. GECCO (Companion) 2017: 213-214 - [c4]Karl Mason, Jim Duggan, Enda Howley:
Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch. GECCO (Companion) 2017: 1287-1294 - [c3]Martin Duggan, Karl Mason, Jim Duggan, Enda Howley, Enda Barrett:
Predicting host CPU utilization in cloud computing using recurrent neural networks. ICITST 2017: 67-72 - 2016
- [c2]Patrick Mannion, Karl Mason, Sam Devlin, Jim Duggan, Enda Howley:
Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning: (Extended Abstract). AAMAS 2016: 1345-1346 - 2015
- [c1]Karl Mason, Enda Howley:
Avoidance Strategies in Particle Swarm Optimisation. MENDEL 2015: 3-15
Coauthor Index
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last updated on 2024-12-08 02:26 CET by the dblp team
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