Evolutionary Markov Chain Monte Carlo. - Madalina M. Drugan; Dirk Thierens (Artificial Evolution, 2003)

A New MDL-Based Function for Feature Selection for Bayesian Network Classifiers. - Madalina M. Drugan; Linda C. van der Gaag (ECAI, 2004)

Recombinative EMCMC algorithms. - Madalina M. Drugan; Dirk Thierens (Congress on Evolutionary Computation, 2005)

Conditional log-likelihood MDL and Evolutionary MCMC. - Madalina M. Drugan (2006)

StatQuant: a post-quantification analysis toolbox for improving quantitative mass spectrometry. - Bas van Breukelen; Henk W. P. van den Toorn; Madalina M. Drugan; Albert J. R. Heck (Bioinform., 2009)

Path-Guided Mutation for Stochastic Pareto Local Search Algorithms. - Madalina M. Drugan; Dirk Thierens (PPSN (1), 2010)

Geometrical Recombination Operators for Real-Coded Evolutionary MCMCs. - Madalina M. Drugan; Dirk Thierens (Evol. Comput., 2010)

Recombination operators and selection strategies for evolutionary Markov Chain Monte Carlo algorithms. - Madalina M. Drugan; Dirk Thierens (Evol. Intell., 2010)

Feature selection for Bayesian network classifiers using the MDL-FS score. - Madalina M. Drugan; Marco A. Wiering (Int. J. Approx. Reason., 2010)

Generalized adaptive pursuit algorithm for genetic pareto local search algorithms. - Madalina M. Drugan; Dirk Thierens (GECCO, 2011)

Stochastic Pareto local search: Pareto neighbourhood exploration and perturbation strategies. - Madalina M. Drugan; Dirk Thierens (J. Heuristics, 2012)

Scalarized multi-objective reinforcement learning: Novel design techniques. - Kristof Van Moffaert; Madalina M. Drugan; Ann Nowé (ADPRL, 2013)

Meta-Evolutionary Algorithms and recombination operators for satisfiability solving in fuzzy logics. - Tim Brys; Madalina M. Drugan; Ann Nowé (IEEE Congress on Evolutionary Computation, 2013)

Instance generator for the quadratic assignment problem with additively decomposable cost function. - Madalina M. Drugan (IEEE Congress on Evolutionary Computation, 2013)

Bandit-Inspired Memetic Algorithms for solving Quadratic Assignment Problems. - Francesco Puglierin; Madalina M. Drugan; Marco A. Wiering (IEEE Congress on Evolutionary Computation, 2013)

Sets of interacting scalarization functions in local search for multi-objective combinatorial optimization problems. - Madalina M. Drugan (MCDM, 2013)

Hypervolume-Based Multi-Objective Reinforcement Learning. - Kristof Van Moffaert; Madalina M. Drugan; Ann Nowé (EMO, 2013)

Solving satisfiability in fuzzy logics by mixing CMA-ES. - Tim Brys; Madalina M. Drugan; Peter A. N. Bosman; Martine De Cock; Ann Nowé (GECCO, 2013)

Cartesian product of scalarization functions for many-objective QAP instances with correlated flow matrices: cartesian product of scalarization functions. - Madalina M. Drugan (GECCO, 2013)

Local search and restart strategies for satisfiability solving in fuzzy logics. - Tim Brys; Madalina M. Drugan; Peter A. N. Bosman; Martine De Cock; Ann Nowé (GEFS, 2013)

Designing multi-objective multi-armed bandits algorithms: A study. - Madalina M. Drugan; Ann Nowé (IJCNN, 2013)

Pareto Upper Confidence Bounds algorithms: An empirical study. - Madalina M. Drugan; Ann Nowé; Bernard Manderick (ADPRL, 2014)

Model-based multi-objective reinforcement learning. - Marco A. Wiering; Maikel Withagen; Madalina M. Drugan (ADPRL, 2014)

Annealing-pareto multi-objective multi-armed bandit algorithm. - Saba Q. Yahyaa; Madalina M. Drugan; Bernard Manderick (ADPRL, 2014)

Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem. - Saba Q. Yahyaa; Madalina M. Drugan; Bernard Manderick (ESANN, 2014)

Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms. - Saba Q. Yahyaa; Madalina M. Drugan; Bernard Manderick (ICAART (1), 2014)

Scalarization based Pareto optimal set of arms identification algorithms. - Madalina M. Drugan; Ann Nowé (IJCNN, 2014)

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 (IJCNN, 2014)

Multi-objective Quadratic Assignment Problem Instances Generator with a Known Optimum Solution. - Madalina M. Drugan (PPSN, 2014)

Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems. - Madalina M. Drugan; Pedro Isasi; Bernard Manderick (SEAL, 2014)

Stochastic Pareto local search for many objective quadratic assignment problem instances. - Madalina M. Drugan (CEC, 2015)

Annealing linear scalarized based multi-objective multi-armed bandit algorithm. - Saba Q. Yahyaa; Madalina M. Drugan; Bernard Manderick (CEC, 2015)

Linear Scalarization for Pareto Front Identification in Stochastic Environments. - Madalina M. Drugan (EMO (2), 2015)

Multi-objective optimization perspectives on reinforcement learning algorithms using reward vectors. - Madalina M. Drugan (ESANN, 2015)

Bernoulli bandits: an empirical comparison. - Nixon K. Ronoh; Reuben Odoyo; Edna Milgo; Madalina M. Drugan; Bernard Manderick (ESANN, 2015)

Efficient Real-Parameter Single Objective Optimizer Using Hierarchical CMA-ES Solvers. - Madalina M. Drugan (EVOLVE, 2015)

Synergies between Evolutionary Algorithms and Reinforcement Learning. - Madalina M. Drugan (GECCO (Companion), 2015)

Infinite Horizon Multi-armed Bandits with Reward Vectors: Exploration/Exploitation Trade-off. - Madalina M. Drugan (ICAART (Revised Selected Papers), 2015)

Exploration Versus Exploitation Trade-off in Infinite Horizon Pareto Multi-armed Bandits Algorithms. - Madalina M. Drugan; Bernard Manderick (ICAART (2), 2015)

Thompson Sampling in the Adaptive Linear Scalarized Multi Objective Multi Armed Bandit. - Saba Q. Yahyaa; Madalina M. Drugan; Bernard Manderick (ICAART (2), 2015)

Scalarized Lower Upper Confidence Bound Algorithm. - Madalina M. Drugan (LION, 2015)

Adaptive Neighbourhood Search for the Component Deployment Problem. - Aldeida Aleti; Madalina M. Drugan (SSBSE, 2015)

Approximative Pareto Front Identification. - Madalina M. Drugan (SSCI, 2015)

Temporal Difference Learning for the Game Tic-Tac-Toe 3D: Applying Structure to Neural Networks. - Michiel Van De Steeg; Madalina M. Drugan; Marco A. Wiering (SSCI, 2015)

Correlated Gaussian Multi-Objective Multi-Armed Bandit Across Arms Algorithm. - Saba Q. Yahyaa; Madalina M. Drugan (SSCI, 2015)

Generating QAP instances with known optimum solution and additively decomposable cost function. - Madalina M. Drugan (J. Comb. Optim., 2015)

Scalarized and Pareto Knowledge Gradient for Multi-objective Multi-armed Bandits. - Saba Q. Yahyaa; Madalina M. Drugan; Bernard Manderick (Trans. Comput. Collect. Intell., 2015)

Pareto Front Identification from Stochastic Bandit Feedback. - Peter Auer; Chao-Kai Chiang; Ronald Ortner; Madalina M. Drugan (AISTATS, 2016)

A Bayesian model for anomaly detection in SQL databases for security systems. - Madalina M. Drugan (SSCI, 2016)

Comparing exploration strategies for Q-learning in random stochastic mazes. - Arryon D. Tijsma; Madalina M. Drugan; Marco A. Wiering (SSCI, 2016)

PAC models in stochastic multi-objective multi-armed bandits. - Madalina M. Drugan (GECCO, 2017)

Adversarial Reinforcement Learning in a Cyber Security Simulation. - Richard Elderman; Leon J. J. Pater; Albert S. Thie; Madalina M. Drugan; Marco A. Wiering (ICAART (2), 2017)

Special issue on multi-objective reinforcement learning. - Madalina M. Drugan; Marco A. Wiering; Peter Vamplew 001; Madhu Chetty (Neurocomputing, 2017)

Opponent Modelling in the Game of Tron using Reinforcement Learning. - Stefan J. L. Knegt; Madalina M. Drugan; Marco A. Wiering (ICAART (2), 2018)

Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron. - Stefan J. L. Knegt; Madalina M. Drugan; Marco A. Wiering (ICAART (Revised Selected Papers), 2018)

Exploration Methods for Connectionist Q-learning in Bomberman. - Joseph Groot Kormelink; Madalina M. Drugan; Marco A. Wiering (ICAART (2), 2018)

Hierarchical Reinforcement Learning for Real-Time Strategy Games. - Remi Niel; Jasper Krebbers; Madalina M. Drugan; Marco A. Wiering (ICAART (2), 2018)

Learning to Play Pac-Xon with Q-Learning and Two Double Q-Learning Variants. - Jits Schilperoort; Ivar Mak; Madalina M. Drugan; Marco A. Wiering (SSCI, 2018)

Sampled Policy Gradient for Learning to Play the Game Agar.io. - Anton Orell Wiehe; Nil Stolt Ansó; Madalina M. Drugan; Marco A. Wiering (CoRR, 2018)

Scaling-up many-objective combinatorial optimization with Cartesian products of scalarization functions. - Madalina M. Drugan (J. Heuristics, 2018)

Deep Reinforcement Learning for Pellet Eating in Agar.io. - Nil Stolt Ansó; Anton Orell Wiehe; Madalina M. Drugan; Marco A. Wiering (ICAART (2), 2019)

Estimating the number of basins of attraction of multi-objective combinatorial problems. - Madalina M. Drugan (J. Comb. Optim., 2019)

Random walk's correlation function for multi-objective NK landscapes and quadratic assignment problem. - Madalina M. Drugan (J. Comb. Optim., 2019)

Reinforcement learning versus evolutionary computation: A survey on hybrid algorithms. - Madalina M. Drugan (Swarm Evol. Comput., 2019)

Covariance Matrix Adaptation for Multiobjective Multiarmed Bandits. - Madalina M. Drugan (IEEE Trans. Neural Networks Learn. Syst., 2019)