@inproceedings{35667fae5deb45afb970be2f2b83f865,
title = "Optimal Policies for Routing Multi Sensor-Effector Combined Autonomous Devices",
abstract = "We use Monte Carlo tree search to create policies that simultaneously perform active learning about the concentration of contaminants using a Bayesian prior, while also performing mitigation. The policy is asymptotically optimal for one device. We then propose different information sharing protocols to coordinate a fleet.",
author = "Yura Oh and Powell, {Warren B.}",
year = "2019",
month = aug,
doi = "10.1109/MRS.2019.8901060",
language = "English (US)",
series = "International Symposium on Multi-Robot and Multi-Agent Systems, MRS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "182--184",
booktitle = "International Symposium on Multi-Robot and Multi-Agent Systems, MRS 2019",
address = "United States",
note = "2nd International Symposium on Multi-Robot and Multi-Agent Systems, MRS 2019 ; Conference date: 22-08-2019 Through 23-08-2019",
}