Multilevel Constrained Bandits: A Hierarchical Upper Confidence Bound Approach with Safety Guarantees
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DOI: 10.3390/math13010149
Abstract: The multi-armed bandit (MAB) problem is a foundational model for sequential decision-making under uncertainty. While MAB has proven valuable in applications such as clinical trials and online advertising, traditional formulations have limitations; specifically, they struggle… read more here.
Keywords: confidence bound; upper confidence; bandits hierarchical; constrained bandits ... See more keywords
Utilization of Upper Confidence Bound Algorithms for Effective Subproblem Selection in Cooperative Coevolution Frameworks
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DOI: 10.3390/math13183052
Abstract: In cooperative coevolution (CC) frameworks, it is essential to identify the subproblems that can significantly contribute to finding the optimal solutions of the objective function. In traditional CC frameworks, subproblems are selected either sequentially or… read more here.
Keywords: confidence bound; upper confidence; coevolution frameworks; cooperative coevolution ... See more keywords