May 14, 2024, 4:43 a.m. | Maja Franz, Tobias Winker, Sven Groppe, Wolfgang Mauerer

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.07770v1 Announce Type: cross
Abstract: Identifying optimal join orders (JOs) stands out as a key challenge in database research and engineering. Owing to the large search space, established classical methods rely on approximations and heuristics. Recent efforts have successfully explored reinforcement learning (RL) for JO. Likewise, quantum versions of RL have received considerable scientific attention. Yet, it is an open question if they can achieve sustainable, overall practical advantages with improved quantum processors.
In this paper, we present a novel …

abstract arxiv challenge cs.db cs.lg database engineering heuristics hype join key optimisation orders quant-ph quantum reinforcement reinforcement learning research search space type versions

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