Follow
Conor F. Hayes
Title
Cited by
Cited by
Year
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 (1), 1-59, 2022
2252022
Scalar reward is not enough: A response to silver, singh, precup and sutton (2021)
P Vamplew, BJ Smith, J Källström, G Ramos, R Rădulescu, DM Roijers, ...
Autonomous Agents and Multi-Agent Systems 36 (2), 41, 2022
582022
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
232021
Actor-critic multi-objective reinforcement learning for non-linear utility functions
M Reymond, CF Hayes, D Steckelmacher, DM Roijers, A Nowé
Autonomous Agents and Multi-Agent Systems 37 (2), 23, 2023
172023
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search
CF Hayes, M Reymond, DM Roijers, E Howley, P Mannion
Adaptive and Learning Agents Workshop at AAMAS 2021, 2021
172021
Expected scalarised returns dominance: A new solution concept for multi-objective decision making
CF Hayes, T Verstraeten, DM Roijers, E Howley, P Mannion
Neural Computing and Applications, 1-21, 2022
152022
Dynamic thresholded lexicograpic ordering
CF Hayes, E Howley, P Mannion
Adaptive and Learning Agents Workshop (AAMAS 2020), 2020
112020
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, 123686, 2024
72024
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
Dominance criteria and solution sets for the expected scalarised returns
CF Hayes, T Verstraeten, DM Roijers, E Howley, P Mannion
Proceedings of the Adaptive and Learning Agents workshop at AAMAS 2021, 2021
62021
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 37 (2), 26, 2023
52023
Distributional multi-objective decision making
W Röpke, CF Hayes, P Mannion, E Howley, A Nowé, DM Roijers
arXiv preprint arXiv:2305.05560, 2023
52023
Multi-Objective Distributional Value Iteration
CF Hayes, DM Roijers, E Howley, P Mannion
Adaptive and Learning Agents Workshop (AAMAS 2022), 2022
5*2022
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models
CF Hayes, T Verstraeten, DM Roijers, E Howley, P Mannion
European Workshop on Reinforcement Learning (EWRL 2022), 2022
32022
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
Pareto Front Training for Multi-Objective Symbolic Optimization
JG Faris, CF Hayes, AR Goncalves, KG Sprenger, BK Petersen, ...
The Sixteenth Workshop on Adaptive and Learning Agents, 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, ...
arXiv preprint arXiv:2402.02665, 2024
2024
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
Multi-objective reinforcement learning and planning for the expected scalarised returns
CF Hayes
University of Galway: http://hdl.handle.net/10379/17625, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–19