A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Adaptive Information Gathering via Imitation Learning
2017
Robotics: Science and Systems XIII
In the adaptive information gathering problem, a policy is required to select an informative sensing location using the history of measurements acquired thus far. While there is an extensive amount of prior work investigating effective practical approximations using variants of Shannon's entropy, the efficacy of such policies heavily depends on the geometric distribution of objects in the world. On the other hand, the principled approach of employing online POMDP solvers is rendered impractical
doi:10.15607/rss.2017.xiii.041
dblp:conf/rss/ChoudhuryKRSD17
fatcat:j32lcxikcfffbfnccvcm5z3s3a