8 citations · 18 across the 3 of their papers we have counts for
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cs.LG2023★ 8 cited
Benchmarks and Algorithms for Offline Preference-Based Reward Learning
Daniel Shin, Anca D. Dragan, Daniel S. Brown
Learning a reward function from human preferences is challenging as it typically requires having a high-fidelity simulator or using expensive and potentially unsafe actual physical…
cs.LG2021★ 2 cited
Offline Preference-Based Apprenticeship Learning
Daniel Shin, Daniel S. Brown, Anca D. Dragan
Learning a reward function from human preferences is challenging as it typically requires having a high-fidelity simulator or using expensive and potentially unsafe actual physical…