328 citations · 1.9k across the 108 of their papers we have counts for
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cs.RO2016★ 27 cited
HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards
Sanjay Krishnan, Animesh Garg, Richard Liaw +3
Reinforcement Learning (RL) struggles in problems with delayed rewards, and one approach is to segment the task into sub-tasks with incremental rewards. We propose a framework call…
cs.DB2016★ 23 cited
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models
Sanjay Krishnan, Jiannan Wang, Eugene Wu +2
Data cleaning is often an important step to ensure that predictive models, such as regression and classification, are not affected by systematic errors such as inconsistent, out-of…