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Patrick Mannion
Patrick Mannion
Lecturer Above the Bar / Assistant Professor in Computer Science, University of Galway
在 universityofgalway.ie 的电子邮件经过验证 - 首页
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引用次数
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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
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
A multi-objective multi-agent deep reinforcement learning approach to residential appliance scheduling
J Lu, P Mannion, K Mason
IET Smart Grid 5 (4), 2022
192022
A practical guide to multi-objective reinforcement learning and planning
CF Hayes, R Rădulescu, E Bargiacchi, J Källström, M Macfarlane, ...
Autonomous Agents and Multi-Agent Systems 36 (26), 2022
2652022
A Theoretical and Empirical Analysis of Reward Transformations in Multi-Objective Stochastic Games
P Mannion, J Duggan, E Howley
Proceedings of the 16th International Conference on Autonomous Agents and …, 2017
122017
A utility-based analysis of equilibria in multi-objective normal form games
R Radulescu, P Mannion, Y Zhang, DM Roijers, A Nowé
The Knowledge Engineering Review 35 (e32), 2020
302020
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
An Experimental Review of Reinforcement Learning Algorithms for Adaptive Traffic Signal Control
P Mannion, J Duggan, E Howley
Autonomic Road Transport Support Systems, 47-66, 2016
3522016
An Experimental Study of Pyritic Heave
P Mannion, É McKeon
National University of Ireland Galway, 2012
2012
Analysing the Effects of Reward Shaping in Multi-Objective Stochastic Games
P Mannion, J Duggan, E Howley
Adaptive and Learning Agents workshop (at AAMAS 2017), 2017
52017
Applying Multi-Agent Reinforcement Learning to Watershed Management
K Mason, P Mannion, J Duggan, E Howley
Adaptive and Learning Agents workshop (at AAMAS 2016), 2016
302016
Applying Q(λ)-learning in Deep Reinforcement Learning to Play Atari Games
SS Mousavi, M Schukat, P Mannion, E Howley
Adaptive and Learning Agents workshop (at AAMAS 2017), 2017
202017
Avoiding the Tragedy of the Commons using Reward Shaping
P Mannion, S Devlin, J Duggan, E Howley
Adaptive and Learning Agents workshop (at AAMAS 2016), 2016
52016
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
Curriculum Learning for Tightly Coupled Multiagent Systems
G Rockefeller, P Mannion, K Tumer
Proc. of the 18th International Conference on Autonomous Agents and …, 2019
42019
Decision Theoretic Planning for the Expected Scalarised Returns
CF Hayes, DM Roijers, E Howley, P Mannion
Proceedings of the 21st International Conference on Autonomous Agents and …, 2022
62022
Deep Reinforcement Learning for Autonomous Driving: A Survey
BR Kiran, I Sobh, V Talpaert, P Mannion, AA Al Sallab, S Yogamani, ...
IEEE Transactions on Intelligent Transportation Systems, 2021
17182021
Demonstration Guided Multi-Objective Reinforcement Learning
J Lu, P Mannion, K Mason
arXiv preprint arXiv:2404.03997, 2024
2024
Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning
CF Hayes, M Reymond, DM Roijers, E Howley, P Mannion
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
242021
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