| 2019 | ICAART | Deep Reinforcement Learning for Pellet Eating in Agar.io. | Nil Stolt Ans, Anton Orell Wiehe, Madalina M. Drugan, Marco A. Wiering |
| 2018 | ICAART | Opponent Modelling in the Game of Tron using Reinforcement Learning. | Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering |
| 2018 | ICAART | Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron. | Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering |
| 2018 | ICAART | Exploration Methods for Connectionist Q-learning in Bomberman. | Joseph Groot Kormelink, Madalina M. Drugan, Marco A. Wiering |
| 2018 | ICAART | Hierarchical Reinforcement Learning for Real-Time Strategy Games. | Remi Niel, Jasper Krebbers, Madalina M. Drugan, Marco A. Wiering |
| 2017 | GECCO | PAC models in stochastic multi-objective multi-armed bandits. | Madalina M. Drugan |
| 2017 | ICAART | Adversarial Reinforcement Learning in a Cyber Security Simulation. | Richard Elderman, Leon J. J. Pater, Albert S. Thie, Madalina M. Drugan, Marco A. Wiering |
| 2016 | AISTATS | Pareto Front Identification from Stochastic Bandit Feedback. | Peter Auer, Chao-Kai Chiang, Ronald Ortner, Madalina M. Drugan |
| 2015 | CEC | Stochastic Pareto local search for many objective quadratic assignment problem instances. | Madalina M. Drugan |
| 2015 | CEC | Annealing linear scalarized based multi-objective multi-armed bandit algorithm. | Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick |
| 2015 | EMO | Linear Scalarization for Pareto Front Identification in Stochastic Environments. | Madalina M. Drugan |
| 2015 | ESANN | Multi-objective optimization perspectives on reinforcement learning algorithms using reward vectors. | Madalina M. Drugan |
| 2015 | ESANN | Bernoulli bandits: an empirical comparison. | Nixon K. Ronoh, Reuben Odoyo, Edna Milgo, Madalina M. Drugan, Bernard Manderick |
| 2015 | GECCO | Synergies between Evolutionary Algorithms and Reinforcement Learning. | Madalina M. Drugan |
| 2015 | ICAART | Infinite Horizon Multi-armed Bandits with Reward Vectors: Exploration/Exploitation Trade-off. | Madalina M. Drugan |
| 2015 | ICAART | Exploration Versus Exploitation Trade-off in Infinite Horizon Pareto Multi-armed Bandits Algorithms. | Madalina M. Drugan, Bernard Manderick |
| 2015 | ICAART | Thompson Sampling in the Adaptive Linear Scalarized Multi Objective Multi Armed Bandit. | Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick |
| 2015 | SSBSE | Adaptive Neighbourhood Search for the Component Deployment Problem. | Aldeida Aleti, Madalina M. Drugan |
| 2014 | ESANN | Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem. | Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick |
| 2014 | ICAART | Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms. | Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick |
| 2014 | IJCNN | Scalarization based Pareto optimal set of arms identification algorithms. | Madalina M. Drugan, Ann Now |
| 2014 | IJCNN | The scalarized multi-objective multi-armed bandit problem: An empirical study of its exploration vs. exploitation tradeoff. | Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick |
| 2014 | PPSN | Multi-objective Quadratic Assignment Problem Instances Generator with a Known Optimum Solution. | Madalina M. Drugan |
| 2013 | CEC | Meta-Evolutionary Algorithms and recombination operators for satisfiability solving in fuzzy logics. | Tim Brys, Madalina M. Drugan, Ann Now |
| 2013 | CEC | Instance generator for the quadratic assignment problem with additively decomposable cost function. | Madalina M. Drugan |
| 2013 | CEC | Bandit-Inspired Memetic Algorithms for solving Quadratic Assignment Problems. | Francesco Puglierin, Madalina M. Drugan, Marco A. Wiering |
| 2013 | EMO | Hypervolume-Based Multi-Objective Reinforcement Learning. | Kristof Van Moffaert, Madalina M. Drugan, Ann Now |
| 2013 | GECCO | Solving satisfiability in fuzzy logics by mixing CMA-ES. | Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Now |
| 2013 | GECCO | Cartesian product of scalarization functions for many-objective QAP instances with correlated flow matrices: cartesian product of scalarization functions. | Madalina M. Drugan |
| 2013 | IJCNN | Designing multi-objective multi-armed bandits algorithms: A study. | Madalina M. Drugan, Ann Now |
| 2011 | GECCO | Generalized adaptive pursuit algorithm for genetic pareto local search algorithms. | Madalina M. Drugan, Dirk Thierens |
| 2010 | PPSN | Path-Guided Mutation for Stochastic Pareto Local Search Algorithms. | Madalina M. Drugan, Dirk Thierens |
| 2005 | CEC | Recombinative EMCMC algorithms. | Madalina M. Drugan, Dirk Thierens |
| 2004 | ECAI | A New MDL-Based Function for Feature Selection for Bayesian Network Classifiers. | Madalina M. Drugan, Linda C. van der Gaag |