Patrick Mannion

75 papers A* 2A 15Journal 52Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learning. Neurocomputing Adam Callaghan, Karl Mason, Patrick Mannion
2026	J	`jnl`	Predicting Long-Term Self-Rated Health in Small Areas Using Ordinal Regression and Microsimulation. CoRR Seán Caulfield Curley, Karl Mason, Patrick Mannion
2025	J	`jnl`	Demonstration-Guided Continual Reinforcement Learning in Dynamic Environments. CoRR Xue Yang, Michael Schukat, Junlin Lu, Patrick Mannion, Karl Mason, Enda Howley
2025	A	`conf`	Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning. AAMAS Willem Röpke, Mathieu Reymond, Patrick Mannion, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2025	J	`jnl`	Expected scalarised returns dominance: a new solution concept for multi-objective decision making. Neural Comput. Appl. Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion
2025	J	`jnl`	Extending Evolution-Guided Policy Gradient Learning into the multi-objective domain. Neurocomputing Adam Callaghan, Karl Mason, Patrick Mannion
2025	J	`jnl`	Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance. CoRR Bram Silue, Santiago Amaya-Corredor, Patrick Mannion, Lander Willem, Pieter Libin
2025	J	`jnl`	Ireland in 2057: Projections using a Geographically Diverse Dynamic Microsimulation. CoRR Seán Caulfield Curley, Karl Mason, Patrick Mannion
2025	J	`jnl`	MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learning. CoRR Adam Callaghan, Karl Mason, Patrick Mannion
2024	A	`conf`	A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Energy Management. ECAI Junlin Lu, Patrick Mannion, Karl Mason
2024	J	`jnl`	A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments. CoRR Junlin Lu, Patrick Mannion, Karl Mason
2024	J	`jnl`	Demonstration Guided Multi-Objective Reinforcement Learning. CoRR Junlin Lu, Patrick Mannion, Karl Mason
2024	J	`jnl`	Demonstration-Guided Multi-Objective Reinforcement Learning. Trans. Mach. Learn. Res. Junlin Lu, Patrick Mannion, Karl Mason
2024	J	`jnl`	Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning. CoRR Willem Röpke, Mathieu Reymond, Patrick Mannion, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2024	J	`jnl`	Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. Expert Syst. Appl. Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
2024	J	`jnl`	Go-Explore for Residential Energy Management. CoRR Junlin Lu, Patrick Mannion, Karl Mason
2024	J	`jnl`	Inferring Preferences from Demonstrations in Multi-Objective Residential Energy Management. CoRR Junlin Lu, Patrick Mannion, Karl Mason
2024	J	`jnl`	Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning. CoRR Junlin Lu, Patrick Mannion, Karl Mason
2024	J	`jnl`	Inferring preferences from demonstrations in multi-objective reinforcement learning. Neural Comput. Appl. Junlin Lu, Patrick Mannion, Karl Mason
2024	A	`conf`	Learning in Multi-Objective Public Goods Games with Non-Linear Utilities. ECAI Nicole Orzan, Erman Acar, Davide Grossi, Patrick Mannion, Roxana Radulescu
2024	J	`jnl`	Learning in Multi-Objective Public Goods Games with Non-Linear Utilities. CoRR Nicole Orzan, Erman Acar, Davide Grossi, Patrick Mannion, Roxana Radulescu
2024	J	`jnl`	MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning. CoRR Florian Felten, Umut Ucak, Hicham Azmani, Gao Peng, Willem Röpke, Hendrik Baier, Patrick Mannion, Diederik M. Roijers, Jordan K. Terry, El-Ghazali Talbi, Grégoire Danoy, Ann Nowé, Roxana Radulescu
2024	A	`conf`	Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. AAMAS Peter Vamplew, Cameron Foale, Conor F. Hayes, Patrick Mannion, Enda Howley, Richard Dazeley, Scott Johnson, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Willem Röpke, Diederik M. Roijers
2024	J	`jnl`	Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. CoRR Peter Vamplew, Cameron Foale, Conor F. Hayes, Patrick Mannion, Enda Howley, Richard Dazeley, Scott Johnson, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Willem Röpke, Diederik M. Roijers
2023	A	`conf`	A Brief Guide to Multi-Objective Reinforcement Learning and Planning. AAMAS Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
2023	A*	`conf`	Distributional Multi-Objective Decision Making. IJCAI Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, Diederik M. Roijers
2023	J	`jnl`	Distributional Multi-Objective Decision Making. CoRR Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, Diederik M. Roijers
2023	J	`jnl`	Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication. CoRR Adam Callaghan, Karl Mason, Patrick Mannion
2023	—	`conf`	Go-Explore for Residential Energy Management. ECAI Workshops (2) Junlin Lu, Patrick Mannion, Karl Mason
2023	J	`jnl`	Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach. CoRR Junlin Lu, Patrick Mannion, Karl Mason
2023	A*	`conf`	Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract). AAAI Seán Caulfield Curley, Karl Mason, Patrick Mannion
2023	A	`conf`	Know Your Enemy: Identifying and Adapting to Adversarial Attacks in Deep Reinforcement Learning. AAMAS Seán Caulfield Curley, Karl Mason, Patrick Mannion
2023	J	`jnl`	Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning. Auton. Agents Multi Agent Syst. Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
2023	A	`conf`	Scalar Reward is Not Enough. AAMAS Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Friedrik Hentz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale
2023	J	`jnl`	Special issue on evolutionary machine learning. Knowl. Eng. Rev. Karl Mason, Patrick Mannion
2022	J	`jnl`	A practical guide to multi-objective reinforcement learning and planning. Auton. Agents Multi Agent Syst. Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
2022	A	`conf`	Decision-Theoretic Planning for the Expected Scalarised Returns. AAMAS Conor F. Hayes, Diederik M. Roijers, Enda Howley, Patrick Mannion
2022	J	`jnl`	Deep Reinforcement Learning for Autonomous Driving: A Survey. IEEE Trans. Intell. Transp. Syst. B. Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Kumar Yogamani, Patrick Pérez
2022	J	`jnl`	Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. CoRR Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
2022	J	`jnl`	Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning. CoRR Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
2022	J	`jnl`	Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models. CoRR Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion
2022	J	`jnl`	Opponent learning awareness and modelling in multi-objective normal form games. Neural Comput. Appl. Roxana Radulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2022	J	`jnl`	Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021). Auton. Agents Multi Agent Syst. Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Fredrik Heintz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale
2022	J	`jnl`	Special issue on adaptive and learning agents 2020. Neural Comput. Appl. Felipe Leno da Silva, Patrick MacAlpine, Roxana Radulescu, Fernando P. Santos, Patrick Mannion
2021	J	`jnl`	A Practical Guide to Multi-Objective Reinforcement Learning and Planning. CoRR Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
2021	A	`conf`	Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning. AAMAS Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
2021	J	`jnl`	Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making. CoRR Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion
2021	J	`jnl`	Exploring the Impact of Tunable Agents in Sequential Social Dilemmas. CoRR David O'Callaghan, Patrick Mannion
2021	J	`jnl`	Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search. CoRR Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
2021	J	`jnl`	Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021). CoRR Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Fredrik Heintz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale
2021	J	`jnl`	Special issue on adaptive and learning agents 2018. Knowl. Eng. Rev. Patrick Mannion, Anna Harutyunyan, Bei Peng, Kaushik Subramanian
2021	A	`conf`	Tunable Behaviours in Sequential Social Dilemmas using Multi-Objective Reinforcement Learning. AAMAS David O'Callaghan, Patrick Mannion
2020	J	`jnl`	A utility-based analysis of equilibria in multi-objective normal form games. CoRR Roxana Radulescu, Patrick Mannion, Yijie Zhang, Diederik M. Roijers, Ann Nowé
2020	J	`jnl`	A utility-based analysis of equilibria in multi-objective normal-form games. Knowl. Eng. Rev. Roxana Radulescu, Patrick Mannion, Yijie Zhang, Diederik M. Roijers, Ann Nowé
2020	J	`jnl`	Deep Reinforcement Learning for Autonomous Driving: A Survey. CoRR Bangalore Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Kumar Yogamani, Patrick Pérez
2020	A	`conf`	Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey. AAMAS Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2020	J	`jnl`	Multi-objective multi-agent decision making: a utility-based analysis and survey. Auton. Agents Multi Agent Syst. Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2020	J	`jnl`	Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games. CoRR Roxana Radulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2020	A	`conf`	Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games. AAMAS Yijie Zhang, Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2020	J	`jnl`	Special issue on adaptive and learning agents 2019. Knowl. Eng. Rev. Patrick Mannion, Patrick MacAlpine, Bei Peng, Roxana Radulescu
2019	A	`conf`	Curriculum Learning for Tightly Coupled Multiagent Systems. AAMAS Golden Rockefeller, Patrick Mannion, Kagan Tumer
2019	—	`conf`	Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems. VISIGRAPP (5: VISAPP) Victor Talpaert, Ibrahim Sobh, B. Ravi Kiran, Patrick Mannion, Senthil Kumar Yogamani, Ahmad El Sallab, Patrick Pérez
2019	J	`jnl`	Exploring applications of deep reinforcement learning for real-world autonomous driving systems. CoRR Victor Talpaert, Ibrahim Sobh, B. Ravi Kiran, Patrick Mannion, Senthil Kumar Yogamani, Ahmad El Sallab, Patrick Pérez
2019	—	`conf`	Fitness Critics for Multiagent Learning: Extended Abstract. MRS Golden Rockefeller, Patrick Mannion, Kagan Tumer
2019	J	`jnl`	Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey. CoRR Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2019	J	`jnl`	Vulnerable road user detection: state-of-the-art and open challenges. CoRR Patrick Mannion
2018	J	`jnl`	Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning. Knowl. Eng. Rev. Patrick Mannion, Sam Devlin, Jim Duggan, Enda Howley
2018	J	`jnl`	Special issue on adaptive and learning agents 2017. Knowl. Eng. Rev. Patrick Mannion, Anna Harutyunyan, Kaushik Subramanian
2017	A	`conf`	A Theoretical and Empirical Analysis of Reward Transformations in Multi-Objective Stochastic Games. AAMAS Patrick Mannion, Jim Duggan, Enda Howley
2017	J	`jnl`	Multi-agent credit assignment in stochastic resource management games. Knowl. Eng. Rev. Patrick Mannion, Sam Devlin, Jim Duggan, Enda Howley
2017	J	`jnl`	Policy invariance under reward transformations for multi-objective reinforcement learning. Neurocomputing Patrick Mannion, Sam Devlin, Karl Mason, Jim Duggan, Enda Howley
2016	—	`ch.`	An Experimental Review of Reinforcement Learning Algorithms for Adaptive Traffic Signal Control. Autonomic Road Transport Support Systems Patrick Mannion, Jim Duggan, Enda Howley
2016	A	`conf`	Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning: (Extended Abstract). AAMAS Patrick Mannion, Karl Mason, Sam Devlin, Jim Duggan, Enda Howley
2015	—	`conf`	Parallel Reinforcement Learning for Traffic Signal Control. ANT/SEIT Patrick Mannion, Jim Duggan, Enda Howley
2006	—	`conf`	Integrating UWB in consumer devices. CCNC Patrick Mannion