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%0 Journal Article
%1 journals/corr/abs-2406-13711
%A Sheidlower, Isaac S.
%A Bethel, Emma
%A Lilly, Douglas
%A Aronson, Reuben M.
%A Short, Elaine Schaertl
%D 2024
%J CoRR
%K dblp
%T Imagining In-distribution States: How Predictable Robot Behavior Can Enable User Control Over Learned Policies.
%U http://dblp.uni-trier.de/db/journals/corr/corr2406.html#abs-2406-13711
%V abs/2406.13711
@article{journals/corr/abs-2406-13711,
added-at = {2024-07-15T00:00:00.000+0200},
author = {Sheidlower, Isaac S. and Bethel, Emma and Lilly, Douglas and Aronson, Reuben M. and Short, Elaine Schaertl},
biburl = {https://www.bibsonomy.org/bibtex/22a41d74d25debaedefc0006f82acc37c/dblp},
ee = {https://doi.org/10.48550/arXiv.2406.13711},
interhash = {f7f97c86d4086d354102596470d595e2},
intrahash = {2a41d74d25debaedefc0006f82acc37c},
journal = {CoRR},
keywords = {dblp},
timestamp = {2024-07-22T07:10:07.000+0200},
title = {Imagining In-distribution States: How Predictable Robot Behavior Can Enable User Control Over Learned Policies.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2406.html#abs-2406-13711},
volume = {abs/2406.13711},
year = 2024
}