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Patrick Mannion
Patrick Mannion
Lecturer Above the Bar / Assistant Professor in Computer Science, University of Galway
Verified email at universityofgalway.ie - Homepage
Title
Cited by
Year
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments
J Lu, P Mannion, K Mason
27th European Conference on Artificial Intelligence (ECAI-2024), 2024
2024
Learning in Multi-Objective Public Goods Games with Non-Linear Utilities
N Orzan, E Acar, D Grossi, R Mannion, Patrick and Radulescu
27th European Conference on Artificial Intelligence (ECAI-2024), 2024
2024
MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning
F Felten, U Ucak, H Azmani, G Peng, W Röpke, H Baier, P Mannion, ...
arXiv preprint arXiv:2407.16312, 2024
2024
Demonstration Guided Multi-Objective Reinforcement Learning
J Lu, P Mannion, K Mason
arXiv preprint arXiv:2404.03997, 2024
2024
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning
M Reymond, CF Hayes, L Willem, R Rădulescu, S Abrams, DM Roijers, ...
Expert Systems with Applications, 2024
92024
Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning
W Röpke, M Reymond, P Mannion, DM Roijers, A Nowé, R Rădulescu
arXiv preprint arXiv:2402.07182, 2024
2024
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning
P Vamplew, C Foale, CF Hayes, P Mannion, E Howley, R Dazeley, ...
Proceedings of the 2024 International Conference on Autonomous Agents and …, 2024
2024
Go-Explore for Residential Energy Management
J Lu, P Mannion, K Mason
Artificial Intelligence for Sustainability Workshop (AI4S 2023) @ ECAI 2023, 2023
12023
Inferring Preferences from Demonstrations in Multi-Objective Residential Energy Management
J Lu, P Mannion, K Mason
Multi-Objective Decision Making Workshop (MODeM 2023) at ECAI 2023, 2023
2023
Comparing utility-based and Pareto-based solution sets in multi-objective normal form games
P Mannion, R Rădulescu
Multi-Objective Decision Making Workshop (MODeM 2023) at ECAI 2023, 2023
22023
Distributional Multi-Objective Decision Making
WI Röpke, CF Hayes, P Mannion, E Howley, A Nowé, DM Roijers
32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023
52023
Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents
SC Curley, K Mason, P Mannion
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16176 …, 2023
2023
Know Your Enemy: Identifying and Adapting to Adversarial Attacks in Deep Reinforcement Learning
S Caulfield Curley, K Mason, P Mannion
Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023
2023
Scalar Reward is Not Enough
P Vamplew, BJ Smith, J Källström, G Ramos, R Rădulescu, DM Roijers, ...
Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023
2023
A Brief Guide to Multi-Objective Reinforcement Learning and Planning
CF Hayes, R Rădulescu, E Bargiacchi, J Kallstrom, M Macfarlane, ...
Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023
12023
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication
A Callaghan, K Mason, P Mannion
Adaptive and Learning Agents Workshop (at AAMAS 2023), 2023
22023
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach
J Lu, P Mannion, K Mason
Adaptive and Learning Agents Workshop (at AAMAS 2023), 2023
32023
A Classification Based Approach to Identifying and Mitigating Adversarial Behaviours in Deep Reinforcement Learning Agents
S Caulfield Curley, K Mason, P Mannion
Adaptive and Learning Agents Workshop (at AAMAS 2023), 2023
2023
Special issue on evolutionary machine learning
K Mason, P Mannion
The Knowledge Engineering Review 38, 2023
2023
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning
CF Hayes, M Reymond, DM Roijers, E Howley, P Mannion
Autonomous Agents and Multi-Agent Systems, 2023
72023
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