Madalina M. Drugan

According to our database, Madalina M. Drugan authored at least 65 papers between 2003 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2019

Covariance Matrix Adaptation for Multiobjective Multiarmed Bandits.

Madalina M. Drugan

IEEE Trans. Neural Networks Learn. Syst., 2019

Reinforcement learning versus evolutionary computation: A survey on hybrid algorithms.

Madalina M. Drugan

Swarm Evol. Comput., 2019

Random walk's correlation function for multi-objective NK landscapes and quadratic assignment problem.

Madalina M. Drugan

J. Comb. Optim., 2019

Estimating the number of basins of attraction of multi-objective combinatorial problems.

Madalina M. Drugan

J. Comb. Optim., 2019

Deep Reinforcement Learning for Pellet Eating in Agar.io.

Nil Stolt Ansó, Anton Orell Wiehe, Madalina M. Drugan, Marco A. Wiering

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

2018

Scaling-up many-objective combinatorial optimization with Cartesian products of scalarization functions.

Madalina M. Drugan

J. Heuristics, 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

Learning to Play Pac-Xon with Q-Learning and Two Double Q-Learning Variants.

Jits Schilperoort, Ivar Mak, Madalina M. Drugan, Marco A. Wiering

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Hierarchical Reinforcement Learning for Real-Time Strategy Games.

Remi Niel, Jasper Krebbers, Madalina M. Drugan, Marco A. Wiering

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Exploration Methods for Connectionist Q-learning in Bomberman.

Joseph Groot Kormelink, Madalina M. Drugan, Marco A. Wiering

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron.

Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering

Proceedings of the Agents and Artificial Intelligence - 10th International Conference, 2018

Opponent Modelling in the Game of Tron using Reinforcement Learning.

Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

2017

Special issue on multi-objective reinforcement learning.

Madalina M. Drugan, Marco A. Wiering, Peter Vamplew, Madhu Chetty

Neurocomputing, 2017

Adversarial Reinforcement Learning in a Cyber Security Simulation.

Richard Elderman, Leon J. J. Pater, Albert S. Thie, Madalina M. Drugan, Marco A. Wiering

Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

PAC models in stochastic multi-objective multi-armed bandits.

Madalina M. Drugan

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Comparing exploration strategies for Q-learning in random stochastic mazes.

Arryon D. Tijsma, Madalina M. Drugan, Marco A. Wiering

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Bayesian model for anomaly detection in SQL databases for security systems.

Madalina M. Drugan

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Pareto Front Identification from Stochastic Bandit Feedback.

Peter Auer, Chao-Kai Chiang, Ronald Ortner, Madalina M. Drugan

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

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

Generating QAP instances with known optimum solution and additively decomposable cost function.

Madalina M. Drugan

J. Comb. Optim., 2015

Correlated Gaussian Multi-Objective Multi-Armed Bandit Across Arms Algorithm.

Saba Q. Yahyaa, Madalina M. Drugan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Approximative Pareto Front Identification.

Madalina M. Drugan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Adaptive Neighbourhood Search for the Component Deployment Problem.

Aldeida Aleti, Madalina M. Drugan

Proceedings of the Search-Based Software Engineering - 7th International Symposium, 2015

Scalarized Lower Upper Confidence Bound Algorithm.

Madalina M. Drugan

Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015

Thompson Sampling in the Adaptive Linear Scalarized Multi Objective Multi Armed Bandit.

Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick

Proceedings of the ICAART 2015, 2015

Exploration Versus Exploitation Trade-off in Infinite Horizon Pareto Multi-armed Bandits Algorithms.

Madalina M. Drugan, Bernard Manderick

Proceedings of the ICAART 2015, 2015

Infinite Horizon Multi-armed Bandits with Reward Vectors: Exploration/Exploitation Trade-off.

Madalina M. Drugan

Proceedings of the Agents and Artificial Intelligence - 7th International Conference, 2015

Synergies between Evolutionary Algorithms and Reinforcement Learning.

Madalina M. Drugan

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Efficient Real-Parameter Single Objective Optimizer Using Hierarchical CMA-ES Solvers.

Madalina M. Drugan

Proceedings of the EVOLVE, 2015

Bernoulli bandits: an empirical comparison.

Nixon K. Ronoh, Reuben Odoyo, Edna Milgo, Madalina M. Drugan, Bernard Manderick

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Multi-objective optimization perspectives on reinforcement learning algorithms using reward vectors.

Madalina M. Drugan

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Linear Scalarization for Pareto Front Identification in Stochastic Environments.

Madalina M. Drugan

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Annealing linear scalarized based multi-objective multi-armed bandit algorithm.

Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Stochastic Pareto local search for many objective quadratic assignment problem instances.

Madalina M. Drugan

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems.

Madalina M. Drugan, Pedro Isasi, Bernard Manderick

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Multi-objective Quadratic Assignment Problem Instances Generator with a Known Optimum Solution.

Madalina M. Drugan

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 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

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Scalarization based Pareto optimal set of arms identification algorithms.

Madalina M. Drugan, Ann Nowé

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms.

Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick

Proceedings of the ICAART 2014, 2014

Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem.

Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Annealing-pareto multi-objective multi-armed bandit algorithm.

Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

Model-based multi-objective reinforcement learning.

Marco A. Wiering, Maikel Withagen, Madalina M. Drugan

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

Pareto Upper Confidence Bounds algorithms: An empirical study.

Madalina M. Drugan, Ann Nowé, Bernard Manderick

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013

Designing multi-objective multi-armed bandits algorithms: A study.

Madalina M. Drugan, Ann Nowé

Proceedings of the 2013 International Joint Conference on Neural Networks, 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

Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2013

Cartesian product of scalarization functions for many-objective QAP instances with correlated flow matrices: cartesian product of scalarization functions.

Madalina M. Drugan

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Solving satisfiability in fuzzy logics by mixing CMA-ES.

Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Hypervolume-Based Multi-Objective Reinforcement Learning.

Kristof Van Moffaert, Madalina M. Drugan, Ann Nowé

Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

Sets of interacting scalarization functions in local search for multi-objective combinatorial optimization problems.

Madalina M. Drugan

Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2013

Bandit-Inspired Memetic Algorithms for solving Quadratic Assignment Problems.

Francesco Puglierin, Madalina M. Drugan, Marco A. Wiering

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Instance generator for the quadratic assignment problem with additively decomposable cost function.

Madalina M. Drugan

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Meta-Evolutionary Algorithms and recombination operators for satisfiability solving in fuzzy logics.

Tim Brys, Madalina M. Drugan, Ann Nowé

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Scalarized multi-objective reinforcement learning: Novel design techniques.

Kristof Van Moffaert, Madalina M. Drugan, Ann Nowé

Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012

Stochastic Pareto local search: Pareto neighbourhood exploration and perturbation strategies.

Madalina M. Drugan, Dirk Thierens

J. Heuristics, 2012

2011

Generalized adaptive pursuit algorithm for genetic pareto local search algorithms.

Madalina M. Drugan, Dirk Thierens

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Feature selection for Bayesian network classifiers using the MDL-FS score.

Madalina M. Drugan, Marco A. Wiering

Int. J. Approx. Reason., 2010

Recombination operators and selection strategies for evolutionary Markov Chain Monte Carlo algorithms.

Madalina M. Drugan, Dirk Thierens

Evol. Intell., 2010

Geometrical Recombination Operators for Real-Coded Evolutionary MCMCs.

Madalina M. Drugan, Dirk Thierens

Evol. Comput., 2010

Path-Guided Mutation for Stochastic Pareto Local Search Algorithms.

Madalina M. Drugan, Dirk Thierens

Proceedings of the Parallel Problem Solving from Nature, 2010

2009

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

2006

Conditional log-likelihood MDL and Evolutionary MCMC.

Madalina M. Drugan

PhD thesis, 2006

2005

Recombinative EMCMC algorithms.

Madalina M. Drugan, Dirk Thierens

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

A New MDL-Based Function for Feature Selection for Bayesian Network Classifiers.

Madalina M. Drugan, Linda C. van der Gaag

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003

Evolutionary Markov Chain Monte Carlo.

Madalina M. Drugan, Dirk Thierens

Proceedings of the Artificial Evolution, 2003