Abstract: The multi-armed bandit framework is a wellestablished learning paradigm that enables sequential decisionmaking under uncertainty. This framework has been widely applied in various domains, ...
Abstract: The effectiveness and flexibility of greedy algorithms are comprehensively explored and proven in the current study, with an analysis of application examples in a series of optimization ...