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

, , and . ICAART (1), page 74-83. SciTePress, (2014)

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The scalarized multi-objective multi-armed bandit problem: An empirical study of its exploration vs. exploitation tradeoff., , and . IJCNN, page 2290-2297. IEEE, (2014)Designing multi-objective multi-armed bandits algorithms: A study., and . IJCNN, page 1-8. IEEE, (2013)Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms., , and . ICAART (1), page 74-83. SciTePress, (2014)Adaptive Neighbourhood Search for the Component Deployment Problem., and . SSBSE, volume 9275 of Lecture Notes in Computer Science, page 188-202. Springer, (2015)Estimating the number of basins of attraction of multi-objective combinatorial problems.. J. Comb. Optim., 37 (4): 1367-1407 (2019)Hypervolume-Based Multi-Objective Reinforcement Learning., , and . EMO, volume 7811 of Lecture Notes in Computer Science, page 352-366. Springer, (2013)Path-Guided Mutation for Stochastic Pareto Local Search Algorithms., and . PPSN (1), volume 6238 of Lecture Notes in Computer Science, page 485-495. Springer, (2010)Pareto Upper Confidence Bounds algorithms: An empirical study., , and . ADPRL, page 1-8. IEEE, (2014)Special issue on multi-objective reinforcement learning., , , and . Neurocomputing, (2017)Cartesian product of scalarization functions for many-objective QAP instances with correlated flow matrices: cartesian product of scalarization functions.. GECCO, page 527-534. ACM, (2013)