Madalina M. Drugan

ORCID

Publication Activity (10 Years)

Years Active: 2003-2019
Publications (10 Years): 35

Top Venues

Utrecht University, Netherlands (PHD)

Education History

Utrecht University, Netherlands

PHD

Publications

Madalina M. Drugan
Estimating the number of basins of attraction of multi-objective combinatorial problems. J. Comb. Optim. 37 (4) (2019)
Madalina M. Drugan
Random walk's correlation function for multi-objective NK landscapes and quadratic assignment problem. J. Comb. Optim. 38 (4) (2019)
Nil Stolt Ansó, Anton Orell Wiehe, Madalina M. Drugan, Marco A. Wiering
Deep Reinforcement Learning for Pellet Eating in Agar.io. ICAART (2) (2019)
Madalina M. Drugan
Covariance Matrix Adaptation for Multiobjective Multiarmed Bandits. IEEE Trans. Neural Networks Learn. Syst. 30 (8) (2019)
Madalina M. Drugan
Reinforcement learning versus evolutionary computation: A survey on hybrid algorithms. Swarm Evol. Comput. 44 (2019)
Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering
Opponent Modelling in the Game of Tron using Reinforcement Learning. ICAART (2) (2018)
Remi Niel, Jasper Krebbers, Madalina M. Drugan, Marco A. Wiering
Hierarchical Reinforcement Learning for Real-Time Strategy Games. ICAART (2) (2018)
Joseph Groot Kormelink, Madalina M. Drugan, Marco A. Wiering
Exploration Methods for Connectionist Q-learning in Bomberman. ICAART (2) (2018)
Madalina M. Drugan
Scaling-up many-objective combinatorial optimization with Cartesian products of scalarization functions. J. Heuristics 24 (2) (2018)
Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering
Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron. ICAART (Revised Selected Papers) (2018)
Jits Schilperoort, Ivar Mak, Madalina M. Drugan, Marco A. Wiering
Learning to Play Pac-Xon with Q-Learning and Two Double Q-Learning Variants. SSCI (2018)
Anton Orell Wiehe, Nil Stolt Ansó, Madalina M. Drugan, Marco A. Wiering
Sampled Policy Gradient for Learning to Play the Game Agar.io. CoRR (2018)
Madalina M. Drugan
PAC models in stochastic multi-objective multi-armed bandits. GECCO (2017)
Richard Elderman, Leon J. J. Pater, Albert S. Thie, Madalina M. Drugan, Marco A. Wiering
Adversarial Reinforcement Learning in a Cyber Security Simulation. ICAART (2) (2017)
Madalina M. Drugan, Marco A. Wiering, Peter Vamplew, Madhu Chetty
Special issue on multi-objective reinforcement learning. Neurocomputing 263 (2017)
Arryon D. Tijsma, Madalina M. Drugan, Marco A. Wiering
Comparing exploration strategies for Q-learning in random stochastic mazes. SSCI (2016)
Peter Auer, Chao-Kai Chiang, Ronald Ortner, Madalina M. Drugan
Pareto Front Identification from Stochastic Bandit Feedback. AISTATS (2016)
Madalina M. Drugan
A Bayesian model for anomaly detection in SQL databases for security systems. SSCI (2016)
Madalina M. Drugan
Synergies between Evolutionary Algorithms and Reinforcement Learning. GECCO (Companion) (2015)
Madalina M. Drugan
Generating QAP instances with known optimum solution and additively decomposable cost function. J. Comb. Optim. 30 (4) (2015)
Madalina M. Drugan
Efficient Real-Parameter Single Objective Optimizer Using Hierarchical CMA-ES Solvers. EVOLVE (2015)
Madalina M. Drugan
Scalarized Lower Upper Confidence Bound Algorithm. LION (2015)
Madalina M. Drugan
Multi-objective optimization perspectives on reinforcement learning algorithms using reward vectors. ESANN (2015)
Saba Q. Yahyaa, Madalina M. Drugan
Correlated Gaussian Multi-Objective Multi-Armed Bandit Across Arms Algorithm. SSCI (2015)
Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
Scalarized and Pareto Knowledge Gradient for Multi-objective Multi-armed Bandits. Trans. Comput. Collect. Intell. 20 (2015)
Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
Thompson Sampling in the Adaptive Linear Scalarized Multi Objective Multi Armed Bandit. ICAART (2) (2015)
Madalina M. Drugan
Stochastic Pareto local search for many objective quadratic assignment problem instances. CEC (2015)
Michiel Van De Steeg, Madalina M. Drugan, Marco A. Wiering
Temporal Difference Learning for the Game Tic-Tac-Toe 3D: Applying Structure to Neural Networks. SSCI (2015)
Madalina M. Drugan
Linear Scalarization for Pareto Front Identification in Stochastic Environments. EMO (2) (2015)
Aldeida Aleti, Madalina M. Drugan
Adaptive Neighbourhood Search for the Component Deployment Problem. SSBSE (2015)
Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
Annealing linear scalarized based multi-objective multi-armed bandit algorithm. CEC (2015)
Madalina M. Drugan
Approximative Pareto Front Identification. SSCI (2015)
Madalina M. Drugan
Infinite Horizon Multi-armed Bandits with Reward Vectors: Exploration/Exploitation Trade-off. ICAART (Revised Selected Papers) (2015)
Nixon K. Ronoh, Reuben Odoyo, Edna Milgo, Madalina M. Drugan, Bernard Manderick
Bernoulli bandits: an empirical comparison. ESANN (2015)
Madalina M. Drugan, Bernard Manderick
Exploration Versus Exploitation Trade-off in Infinite Horizon Pareto Multi-armed Bandits Algorithms. ICAART (2) (2015)
Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem. ESANN (2014)
Madalina M. Drugan, Ann Nowé, Bernard Manderick
Pareto Upper Confidence Bounds algorithms: An empirical study. ADPRL (2014)
Madalina M. Drugan, Pedro Isasi, Bernard Manderick
Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems. SEAL (2014)
Madalina M. Drugan
Multi-objective Quadratic Assignment Problem Instances Generator with a Known Optimum Solution. PPSN (2014)
Marco A. Wiering, Maikel Withagen, Madalina M. Drugan
Model-based multi-objective reinforcement learning. ADPRL (2014)
Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
The scalarized multi-objective multi-armed bandit problem: An empirical study of its exploration vs. exploitation tradeoff. IJCNN (2014)
Madalina M. Drugan, Ann Nowé
Scalarization based Pareto optimal set of arms identification algorithms. IJCNN (2014)
Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms. ICAART (1) (2014)
Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
Annealing-pareto multi-objective multi-armed bandit algorithm. ADPRL (2014)
Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé
Solving satisfiability in fuzzy logics by mixing CMA-ES. GECCO (2013)
Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé
Local search and restart strategies for satisfiability solving in fuzzy logics. GEFS (2013)
Tim Brys, Madalina M. Drugan, Ann Nowé
Meta-Evolutionary Algorithms and recombination operators for satisfiability solving in fuzzy logics. IEEE Congress on Evolutionary Computation (2013)
Madalina M. Drugan
Sets of interacting scalarization functions in local search for multi-objective combinatorial optimization problems. MCDM (2013)
Madalina M. Drugan
Instance generator for the quadratic assignment problem with additively decomposable cost function. IEEE Congress on Evolutionary Computation (2013)
Kristof Van Moffaert, Madalina M. Drugan, Ann Nowé
Scalarized multi-objective reinforcement learning: Novel design techniques. ADPRL (2013)
Madalina M. Drugan
Cartesian product of scalarization functions for many-objective QAP instances with correlated flow matrices: cartesian product of scalarization functions. GECCO (2013)
Kristof Van Moffaert, Madalina M. Drugan, Ann Nowé
Hypervolume-Based Multi-Objective Reinforcement Learning. EMO (2013)
Madalina M. Drugan, Ann Nowé
Designing multi-objective multi-armed bandits algorithms: A study. IJCNN (2013)
Francesco Puglierin, Madalina M. Drugan, Marco A. Wiering
Bandit-Inspired Memetic Algorithms for solving Quadratic Assignment Problems. IEEE Congress on Evolutionary Computation (2013)
Madalina M. Drugan, Dirk Thierens
Stochastic Pareto local search: Pareto neighbourhood exploration and perturbation strategies. J. Heuristics 18 (5) (2012)
Madalina M. Drugan, Dirk Thierens
Generalized adaptive pursuit algorithm for genetic pareto local search algorithms. GECCO (2011)
Madalina M. Drugan, Dirk Thierens
Geometrical Recombination Operators for Real-Coded Evolutionary MCMCs. Evol. Comput. 18 (2) (2010)
Madalina M. Drugan, Dirk Thierens
Path-Guided Mutation for Stochastic Pareto Local Search Algorithms. PPSN (1) (2010)
Madalina M. Drugan, Dirk Thierens
Recombination operators and selection strategies for evolutionary Markov Chain Monte Carlo algorithms. Evol. Intell. 3 (2) (2010)
Madalina M. Drugan, Marco A. Wiering
Feature selection for Bayesian network classifiers using the MDL-FS score. Int. J. Approx. Reason. 51 (6) (2010)
Bas van Breukelen, Henk W. P. van den Toorn, Madalina M. Drugan, Albert J. R. Heck
StatQuant: a post-quantification analysis toolbox for improving quantitative mass spectrometry. Bioinform. 25 (11) (2009)
Madalina M. Drugan, Dirk Thierens
Recombinative EMCMC algorithms. Congress on Evolutionary Computation (2005)
Madalina M. Drugan, Linda C. van der Gaag
A New MDL-Based Function for Feature Selection for Bayesian Network Classifiers. ECAI (2004)
Madalina M. Drugan, Dirk Thierens
Evolutionary Markov Chain Monte Carlo. Artificial Evolution (2003)

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Publication Activity (10 Years)

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Madalina M. Drugan