70 citations · 70 across the 1 of their papers we have counts for
2 papers
cs.DB2021
UDO: Universal Database Optimization using Reinforcement Learning
Junxiong Wang, Immanuel Trummer, Debabrota Basu
UDO is a versatile tool for offline tuning of database systems for specific workloads. UDO can consider a variety of tuning choices, reaching from picking transaction code variants…
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…