11 citations · 21 across the 5 of their papers we have counts for
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cs.LG2019★ 1 cited
Active Learning within Constrained Environments through Imitation of an Expert Questioner
Kalesha Bullard, Yannick Schroecker, Sonia Chernova
Active learning agents typically employ a query selection algorithm which solely considers the agent's learning objectives. However, this may be insufficient in more realistic huma…
cs.LG2019★ 11 cited
Generative predecessor models for sample-efficient imitation learning
Yannick Schroecker, Mel Vecerik, Jonathan Scholz
We propose Generative Predecessor Models for Imitation Learning (GPRIL), a novel imitation learning algorithm that matches the state-action distribution to the distribution observe…