70 citations · 70 across the 2 of their papers we have counts for
2 papers
cs.DB2019★ 70 cited
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning
Immanuel Trummer, Junxiong Wang, Deepak Maram +3
SkinnerDB is designed from the ground up for reliable join ordering. It maintains no data statistics and uses no cost or cardinality models. Instead, it uses reinforcement learning…
cs.DB2014
Approximation Schemes for Many-Objective Query Optimization
Immanuel Trummer, Christoph Koch
The goal of multi-objective query optimization (MOQO) is to find query plans that realize a good compromise between conflicting objectives such as minimizing execution time and min…