| 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 | 428 | 2022 |
| Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey R Rădulescu, P Mannion, DM Roijers, A Nowé Autonomous Agents and Multi-Agent Systems 34 (10), 2019 | 171 | 2019 |
| 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), 1-19, 2022 | 92 | 2022 |
| A utility-based analysis of equilibria in multi-objective normal form games R Rădulescu, P Mannion, Y Zhang, DM Roijers, A Nowé The Knowledge Engineering Review 35, 2020 | 34 | 2020 |
| Comparing stakeholder incentives across state-of-the-art renewable support mechanisms M Mihaylov, R Rădulescu, I Razo-Zapata, S Jurado, L Arco, N Avellana, ... Renewable Energy, 2018 | 34 | 2018 |
| Boosting the renewable energy economy with NRGcoin M Mihaylov, I Razo-Zapata, R Rădulescu, A Nowé 4th International Conference on ICT for Sustainability (ICT4S 2016 …, 2016 | 33 | 2016 |
| Deep Multi-Agent Reinforcement Learning in a Homogeneous Open Population R Radulescu, M Legrand, K Efthymiadis, DM Roijers, A Nowé 30th Benelux Conference on Artificial Intelligence (BNAIC 2018), 177 - 191, 2018 | 26 | 2018 |
| Smart grid demonstration platform for renewable energy exchange M Mihaylov, I Razo-Zapata, R Rădulescu, S Jurado, N Avellana, A Nowé Advances in Practical Applications of Scalable Multi-agent Systems. The …, 2016 | 26 | 2016 |
| Opponent learning awareness and modelling in multi-objective normal form games R Rădulescu, T Verstraeten, Y Zhang, P Mannion, DM Roijers, A Nowé Neural Computing and Applications 34 (3), 1759-1781, 2021 | 23 | 2021 |
| Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games. Y Zhang, R Radulescu, P Mannion, DM Roijers, A Nowé AAMAS, 2080-2082, 2020 | 18 | 2020 |
| Toll-based learning for minimising congestion under heterogeneous preferences GO Ramos, R Rădulescu, A Nowé, AR Tavares Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 15 | 2020 |
| Reinforcement Learning for Demand Response of Domestic Household Appliances M Reymond, C Patyn, R Rădulescu, G Deconinck, A Nowé Adaptive Learning Agents (ALA) Workshop at AAMAS 2018, 2018 | 15* | 2018 |
| Toll-based reinforcement learning for efficient equilibria in route choice GO Ramos, BC Da Silva, R Rădulescu, ALC Bazzan, A Nowé The Knowledge Engineering Review 35, 2020 | 14 | 2020 |
| 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 249, 123686, 2024 | 13 | 2024 |
| Analysing Congestion Problems in Multi-agent Reinforcement Learning R Rădulescu, P Vrancx, A Nowé Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017 | 12 | 2017 |
| On nash equilibria in normal-form games with vectorial payoffs W Röpke, DM Roijers, A Nowé, R Rădulescu Autonomous Agents and Multi-Agent Systems 36 (2), 1-29, 2022 | 11 | 2022 |
| On Following Pareto-Optimal Policies in Multi-Objective Planning and Reinforcement Learning DM Roijers, W Röpke, A Nowé, R Rădulescu Multi-Objective Decision Making Workshop (MODeM) 2021, 2021 | 11 | 2021 |
| Equilibria in Multi-Objective Games: a Utility-Based Perspective R Rădulescu, P Mannion, DM Roijers, A Nowé Adaptive and Learning Agents Workshop 2019 (ALA-19) at AAMAS, 2019 | 11 | 2019 |
| Topic classification in Romanian blogosphere A Vasile, R Rădulescu, IB Păvăloiu 12th Symposium on Neural Network Applications in Electrical Engineering …, 2014 | 9 | 2014 |
| Language games meet multi-agent reinforcement learning: A case study for the naming game P Van Eecke, K Beuls, J Botoko Ekila, R Rădulescu Journal of Language Evolution, lzad001, 2023 | 7 | 2023 |
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