Madalina M. Drugan

65 papers A 7B 13C 1Journal 14Unranked 29

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	Covariance Matrix Adaptation for Multiobjective Multiarmed Bandits. IEEE Trans. Neural Networks Learn. Syst. Madalina M. Drugan
2019	—	`conf`	Deep Reinforcement Learning for Pellet Eating in Agar.io. ICAART (2) Nil Stolt Ansó, Anton Orell Wiehe, Madalina M. Drugan, Marco A. Wiering
2019	J	`jnl`	Estimating the number of basins of attraction of multi-objective combinatorial problems. J. Comb. Optim. Madalina M. Drugan
2019	J	`jnl`	Random walk's correlation function for multi-objective NK landscapes and quadratic assignment problem. J. Comb. Optim. Madalina M. Drugan
2019	J	`jnl`	Reinforcement learning versus evolutionary computation: A survey on hybrid algorithms. Swarm Evol. Comput. Madalina M. Drugan
2018	—	`conf`	Exploration Methods for Connectionist Q-learning in Bomberman. ICAART (2) Joseph Groot Kormelink, Madalina M. Drugan, Marco A. Wiering
2018	—	`conf`	Hierarchical Reinforcement Learning for Real-Time Strategy Games. ICAART (2) Remi Niel, Jasper Krebbers, Madalina M. Drugan, Marco A. Wiering
2018	—	`conf`	Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron. ICAART (Revised Selected Papers) Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering
2018	—	`conf`	Learning to Play Pac-Xon with Q-Learning and Two Double Q-Learning Variants. SSCI Jits Schilperoort, Ivar Mak, Madalina M. Drugan, Marco A. Wiering
2018	—	`conf`	Opponent Modelling in the Game of Tron using Reinforcement Learning. ICAART (2) Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering
2018	J	`jnl`	Sampled Policy Gradient for Learning to Play the Game Agar.io. CoRR Anton Orell Wiehe, Nil Stolt Ansó, Madalina M. Drugan, Marco A. Wiering
2018	J	`jnl`	Scaling-up many-objective combinatorial optimization with Cartesian products of scalarization functions. J. Heuristics Madalina M. Drugan
2017	—	`conf`	Adversarial Reinforcement Learning in a Cyber Security Simulation. ICAART (2) Richard Elderman, Leon J. J. Pater, Albert S. Thie, Madalina M. Drugan, Marco A. Wiering
2017	A	`conf`	PAC models in stochastic multi-objective multi-armed bandits. GECCO Madalina M. Drugan
2017	J	`jnl`	Special issue on multi-objective reinforcement learning. Neurocomputing Madalina M. Drugan, Marco A. Wiering, Peter Vamplew, Madhu Chetty
2016	—	`conf`	A Bayesian model for anomaly detection in SQL databases for security systems. SSCI Madalina M. Drugan
2016	—	`conf`	Comparing exploration strategies for Q-learning in random stochastic mazes. SSCI Arryon D. Tijsma, Madalina M. Drugan, Marco A. Wiering
2016	A	`conf`	Pareto Front Identification from Stochastic Bandit Feedback. AISTATS Peter Auer, Chao-Kai Chiang, Ronald Ortner, Madalina M. Drugan
2015	B	`conf`	Adaptive Neighbourhood Search for the Component Deployment Problem. SSBSE Aldeida Aleti, Madalina M. Drugan
2015	B	`conf`	Annealing linear scalarized based multi-objective multi-armed bandit algorithm. CEC Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
2015	—	`conf`	Approximative Pareto Front Identification. SSCI Madalina M. Drugan
2015	B	`conf`	Bernoulli bandits: an empirical comparison. ESANN Nixon K. Ronoh, Reuben Odoyo, Edna Milgo, Madalina M. Drugan, Bernard Manderick
2015	—	`conf`	Correlated Gaussian Multi-Objective Multi-Armed Bandit Across Arms Algorithm. SSCI Saba Q. Yahyaa, Madalina M. Drugan
2015	—	`conf`	Efficient Real-Parameter Single Objective Optimizer Using Hierarchical CMA-ES Solvers. EVOLVE Madalina M. Drugan
2015	—	`conf`	Exploration Versus Exploitation Trade-off in Infinite Horizon Pareto Multi-armed Bandits Algorithms. ICAART (2) Madalina M. Drugan, Bernard Manderick
2015	J	`jnl`	Generating QAP instances with known optimum solution and additively decomposable cost function. J. Comb. Optim. Madalina M. Drugan
2015	—	`conf`	Infinite Horizon Multi-armed Bandits with Reward Vectors: Exploration/Exploitation Trade-off. ICAART (Revised Selected Papers) Madalina M. Drugan
2015	—	`conf`	Linear Scalarization for Pareto Front Identification in Stochastic Environments. EMO (2) Madalina M. Drugan
2015	B	`conf`	Multi-objective optimization perspectives on reinforcement learning algorithms using reward vectors. ESANN Madalina M. Drugan
2015	—	`conf`	Scalarized Lower Upper Confidence Bound Algorithm. LION Madalina M. Drugan
2015	J	`jnl`	Scalarized and Pareto Knowledge Gradient for Multi-objective Multi-armed Bandits. Trans. Comput. Collect. Intell. Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
2015	B	`conf`	Stochastic Pareto local search for many objective quadratic assignment problem instances. CEC Madalina M. Drugan
2015	—	`conf`	Synergies between Evolutionary Algorithms and Reinforcement Learning. GECCO (Companion) Madalina M. Drugan
2015	—	`conf`	Temporal Difference Learning for the Game Tic-Tac-Toe 3D: Applying Structure to Neural Networks. SSCI Michiel Van De Steeg, Madalina M. Drugan, Marco A. Wiering
2015	—	`conf`	Thompson Sampling in the Adaptive Linear Scalarized Multi Objective Multi Armed Bandit. ICAART (2) Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
2014	—	`conf`	Annealing-pareto multi-objective multi-armed bandit algorithm. ADPRL Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
2014	—	`conf`	Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms. ICAART (1) Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
2014	B	`conf`	Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem. ESANN Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
2014	—	`conf`	Model-based multi-objective reinforcement learning. ADPRL Marco A. Wiering, Maikel Withagen, Madalina M. Drugan
2014	A	`conf`	Multi-objective Quadratic Assignment Problem Instances Generator with a Known Optimum Solution. PPSN Madalina M. Drugan
2014	—	`conf`	Pareto Upper Confidence Bounds algorithms: An empirical study. ADPRL Madalina M. Drugan, Ann Nowé, Bernard Manderick
2014	B	`conf`	Scalarization based Pareto optimal set of arms identification algorithms. IJCNN Madalina M. Drugan, Ann Nowé
2014	—	`conf`	Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems. SEAL Madalina M. Drugan, Pedro Isasi, Bernard Manderick
2014	B	`conf`	The scalarized multi-objective multi-armed bandit problem: An empirical study of its exploration vs. exploitation tradeoff. IJCNN Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
2013	B	`conf`	Bandit-Inspired Memetic Algorithms for solving Quadratic Assignment Problems. IEEE Congress on Evolutionary Computation Francesco Puglierin, Madalina M. Drugan, Marco A. Wiering
2013	A	`conf`	Cartesian product of scalarization functions for many-objective QAP instances with correlated flow matrices: cartesian product of scalarization functions. GECCO Madalina M. Drugan
2013	B	`conf`	Designing multi-objective multi-armed bandits algorithms: A study. IJCNN Madalina M. Drugan, Ann Nowé
2013	C	`conf`	Hypervolume-Based Multi-Objective Reinforcement Learning. EMO Kristof Van Moffaert, Madalina M. Drugan, Ann Nowé
2013	B	`conf`	Instance generator for the quadratic assignment problem with additively decomposable cost function. IEEE Congress on Evolutionary Computation Madalina M. Drugan
2013	—	`conf`	Local search and restart strategies for satisfiability solving in fuzzy logics. GEFS Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé
2013	B	`conf`	Meta-Evolutionary Algorithms and recombination operators for satisfiability solving in fuzzy logics. IEEE Congress on Evolutionary Computation Tim Brys, Madalina M. Drugan, Ann Nowé
2013	—	`conf`	Scalarized multi-objective reinforcement learning: Novel design techniques. ADPRL Kristof Van Moffaert, Madalina M. Drugan, Ann Nowé
2013	—	`conf`	Sets of interacting scalarization functions in local search for multi-objective combinatorial optimization problems. MCDM Madalina M. Drugan
2013	A	`conf`	Solving satisfiability in fuzzy logics by mixing CMA-ES. GECCO Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé
2012	J	`jnl`	Stochastic Pareto local search: Pareto neighbourhood exploration and perturbation strategies. J. Heuristics Madalina M. Drugan, Dirk Thierens
2011	A	`conf`	Generalized adaptive pursuit algorithm for genetic pareto local search algorithms. GECCO Madalina M. Drugan, Dirk Thierens
2010	J	`jnl`	Feature selection for Bayesian network classifiers using the MDL-FS score. Int. J. Approx. Reason. Madalina M. Drugan, Marco A. Wiering
2010	J	`jnl`	Geometrical Recombination Operators for Real-Coded Evolutionary MCMCs. Evol. Comput. Madalina M. Drugan, Dirk Thierens
2010	—	`conf`	Path-Guided Mutation for Stochastic Pareto Local Search Algorithms. PPSN (1) Madalina M. Drugan, Dirk Thierens
2010	J	`jnl`	Recombination operators and selection strategies for evolutionary Markov Chain Monte Carlo algorithms. Evol. Intell. Madalina M. Drugan, Dirk Thierens
2009	J	`jnl`	StatQuant: a post-quantification analysis toolbox for improving quantitative mass spectrometry. Bioinform. Bas van Breukelen, Henk W. P. van den Toorn, Madalina M. Drugan, Albert J. R. Heck
2006	—	`—`	Conditional log-likelihood MDL and Evolutionary MCMC. Madalina M. Drugan
2005	B	`conf`	Recombinative EMCMC algorithms. Congress on Evolutionary Computation Madalina M. Drugan, Dirk Thierens
2004	A	`conf`	A New MDL-Based Function for Feature Selection for Bayesian Network Classifiers. ECAI Madalina M. Drugan, Linda C. van der Gaag
2003	—	`conf`	Evolutionary Markov Chain Monte Carlo. Artificial Evolution Madalina M. Drugan, Dirk Thierens