97 citations · 109 across the 14 of their papers we have counts for
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cs.AI2020
RL agents Implicitly Learning Human Preferences
Nevan Wichers
In the real world, RL agents should be rewarded for fulfilling human preferences. We show that RL agents implicitly learn the preferences of humans in their environment. Training a…
cs.LG2020★ 5 cited
Resolving Spurious Correlations in Causal Models of Environments via Interventions
Sergei Volodin, Nevan Wichers, Jeremy Nixon
Causal models bring many benefits to decision-making systems (or agents) by making them interpretable, sample-efficient, and robust to changes in the input distribution. However, s…