All papers authored by Madalina Drugan
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Reinforcement learning versus evolutionary computation: A survey on hybrid algorithms
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Marco A. Wiering
Opponent Modelling in the Game of Tron using Reinforcement Learning:
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Marco A. Wiering
Hierarchical Reinforcement Learning for Real-Time Strategy Games:
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Marco A. Wiering
Exploration Methods for Connectionist Q-learning in Bomberman:
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Marco Wiering,
Peter Vamplew ,
Madhu Chetty
Special issue on multi-objective reinforcement learning
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Marco M. Wiering
Adversarial Reinforcement Learning in a Cyber Security Simulation:
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Marco A. Wiering
Comparing exploration strategies for Q-learning in random stochastic mazes
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A Bayesian model for anomaly detection in SQL databases for security systems
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Marco Wiering
Temporal Difference Learning for the Game Tic-Tac-Toe 3D: Applying Structure to Neural Networks
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Correlated Gaussian Multi-Objective Multi-Armed Bandit across Arms Algorithm
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Bernard Manderick
Annealing Linear Scalarized Based Multi-Objective Multi-Armed Bandit Algorithm
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Stochastic Pareto local search for many objective quadratic assignment problem instances
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Multi-objective optimization perspectives on reinforcement learning algorithms using reward vectors
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Linear scalarization for Pareto front identification in stochastic environments
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