| 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 | 7 | 2024 |
| 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 | | 2023 |
| 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 | | 2023 |
| 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 | 5 | 2023 |
| 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 | 1 | 2023 |
| Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication A Callaghan, K Mason, P Mannion Adaptive and Learning Agents Workshop (at AAMAS 2023), 2023 | 2 | 2023 |
| 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 | 2 | 2023 |
| 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 | 7 | 2023 |
| Abstract of a practical guide to multi-objective reinforcement learning and planning CF Hayes, R Rădulescu, E Bargiacchi, J Källström, M Macfarlane, ... BNAIC/BeNeLearn 2022, 2022 | | 2022 |
| Abstract of expected scalarised returns dominance: a new solution concept for multi-objective decision making CF Hayes, T Verstraeten, DM Roijers, E Howley, P Mannion BNAIC/BeNeLearn 2022, 2022 | | 2022 |
| Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models CF Hayes, T Verstraeten, DM Roijers, E Howley, P Mannion 15th European Workshop on Reinforcement Learning (EWRL 2022), 2022 | 4 | 2022 |
Enda HowleyAssociate Professor in Computer Science, University of Galway在 nuigalway.ie 的电子邮件经过验证
