| 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 | 2371 | 2021 |
| 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 | 439 | 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 | 386 | 2016 |
| 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 | 175 | 2020 |
| 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 | 93 | 2022 |
| 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 | 93 | 2019 |
| 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 | 78 | 2018 |
| 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 | 61 | 2017 |
| Parallel Reinforcement Learning for Traffic Signal Control P Mannion, J Duggan, E Howley The 4th International Workshop on Agent-based Mobility, Traffic and …, 2015 | 52 | 2015 |
| 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 | 35 | 2016 |
| 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 | 34 | 2020 |
| 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 | 33 | 2016 |
| 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 | 32 | 2016 |
| 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 | 31 | 2022 |
| 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 | 27 | 2021 |
| 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 | 23 | 2022 |
| 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 | 21 | 2017 |
| 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 | 18 | 2022 |
| 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 | 18 | 2020 |
| 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 | 17 | 2021 |
Enda HowleyHead of School of Computer Science, University of GalwayVerified email at nuigalway.ie
