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Roxana Rădulescu
Roxana Rădulescu
Post-doctoral researcher in Computer Science, Vrije Universiteit Brussel
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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
2152022
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
1302019
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
572022
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
322016
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
282020
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
262018
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
242016
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
212018
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
182021
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
182020
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
14*2018
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
122020
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
112020
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
102021
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
102019
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
102017
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
92022
Topic classification in Romanian blogosphere
A Vasile, R Rădulescu, IB Păvăloiu
12th Symposium on Neural Network Applications in Electrical Engineering …, 2014
82014
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
Opponent Modelling using Policy Reconstruction for Multi-Objective Normal Form Games
Y Zhang, R Rădulescu, P Mannion, DM Roijers, A Nowé
Adaptive Learning Agents (ALA) Workshop at AAMAS 2020, 2020
72020
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