463 citations · 471 across the 3 of their papers we have counts for
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cs.LG2020
Reward Shaping for Human Learning via Inverse Reinforcement Learning
Mark A. Rucker, Layne T. Watson, Matthew S. Gerber +1
Humans are spectacular reinforcement learners, constantly learning from and adjusting to experience and feedback. Unfortunately, this doesn't necessarily mean humans are fast learn…
cs.LG2017★ 463 cited
HDLTex: Hierarchical Deep Learning for Text Classification
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa +3
The continually increasing number of documents produced each year necessitates ever improving information processing methods for searching, retrieving, and organizing text. Central…