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Patrick Mannion
Patrick Mannion
Lecturer Above the Bar / Assistant Professor in Computer Science, University of Galway
Potvrđena adresa e-pošte na universityofgalway.ie - Početna stranica
Naslov
Citirano
Citirano
Godina
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
22972021
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
4052022
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
3832016
Multi-objective multi-agent decision making: a utility-based analysis and survey
R Radulescu, P Mannion, DM Roijers, A Nowé
Autonomous Agents and Multi-Agent Systems 34 (10), 2020
1702020
Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021)
P Vamplew, BJ Smith, J Kallstrom, G Ramos, R Radulescu, DM Roijers, ...
Autonomous Agents and Multi-Agent Systems 36 (41), 2022
922022
Exploring applications of deep reinforcement learning for real-world autonomous driving systems
V Talpert, I Sobh, BR Kiran, P Mannion, S Yogamani, A El-Sallab, P Perez
International Conference on Computer Vision Theory and Applications (VISAPP), 2019
922019
Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning
P Mannion, S Devlin, J Duggan, E Howley
The Knowledge Engineering Review 33 (e23), 2018
772018
Policy Invariance under Reward Transformations for Multi-Objective Reinforcement Learning
P Mannion, S Devlin, K Mason, J Duggan, E Howley
Neurocomputing 263, 60-73, 2017
612017
Parallel Reinforcement Learning for Traffic Signal Control
P Mannion, J Duggan, E Howley
The 4th International Workshop on Agent-based Mobility, Traffic and …, 2015
522015
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
342020
Dynamic Economic Emissions Dispatch Optimisation using Multi-Agent Reinforcement Learning
P Mannion, K Mason, S Devlin, J Duggan, E Howley
Adaptive and Learning Agents workshop (at AAMAS 2016), 2016
342016
Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning
P Mannion, K Mason, S Devlin, J Duggan, E Howley
Proceedings of the 15th International Conference on Autonomous Agents and …, 2016
332016
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
322016
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
312022
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
272021
Opponent learning awareness and modelling in multi-objective normal form games
R Radulescu, T Verstraeten, Y Zhang, P Mannion, DM Roijers, A Nowé
Neural Computing and Applications, 2022
232022
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
212017
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, 2022
182022
Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games
Y Zhang, R Radulescu, P Mannion, DM Roijers, A Nowé
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
182020
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
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