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, ...

Program execution time increases significantly with each subsequent run. Each subsequent run of the same program increases the execution time by approximately 10%. It shouldn't be like this – the ...

Abstract: In this paper, a greedy initialization-based genetic algorithm is proposed for unit-norm tight frame sampling design in spherical near-field measurements. Since the optimization criterion ...

If you need support for a new econometric algorithm or have an idea for an implementation, please submit your request via GitHub Issues. After evaluation, we'll add it to our DEVPLAN for future ...