<?xml version="1.0"?>
<dblpperson name="John Schierman" pid="358/7123" n="3">
<person key="homepages/358/7123" mdate="2023-10-20">
<author pid="358/7123">John Schierman</author>
</person>
<r><article key="conf/rlc/ZeitlerMMS024" mdate="2025-11-19">
<author pid="348/9471">Christopher K. Zeitler</author>
<author pid="269/9725">Kristina Miller</author>
<author pid="07/3797-1">Sayan Mitra 0001</author>
<author pid="358/7123">John Schierman</author>
<author pid="23/2759-1">Mahesh Viswanathan 0001</author>
<title>Optimizing Rewards while meeting $\omega$-regular Constraints.</title>
<pages>2492-2514</pages>
<year>2024</year>
<journal>RLJ</journal>
<volume>5</volume>
<url>db/journals/rlj/rlj5.html#ZeitlerMMS024</url>
<ee type="oa">https://rlj.cs.umass.edu/2024/papers/Paper359.html</ee>
</article>
</r>
<r><inproceedings key="conf/iccps/MillerZSHSVM24" mdate="2025-11-19">
<author pid="269/9725">Kristina Miller</author>
<author pid="348/9471">Christopher K. Zeitler</author>
<author pid="244/9547">William Shen</author>
<author pid="200/8219">Kerianne Hobbs</author>
<author pid="358/7123">John Schierman</author>
<author pid="23/2759-1">Mahesh Viswanathan 0001</author>
<author pid="07/3797-1">Sayan Mitra 0001</author>
<title>Optimal Runtime Assurance via Reinforcement Learning.</title>
<pages>67-76</pages>
<year>2024</year>
<booktitle>ICCPS</booktitle>
<ee>https://doi.org/10.1109/ICCPS61052.2024.00013</ee>
<crossref>conf/iccps/2024</crossref>
<url>db/conf/iccps/iccps2024.html#MillerZSHSVM24</url>
<stream>streams/conf/iccps</stream>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-2310-04288" mdate="2025-11-19">
<author pid="269/9725">Kristina Miller</author>
<author pid="348/9471">Christopher K. Zeitler</author>
<author pid="244/9547">William Shen</author>
<author pid="200/8219">Kerianne Hobbs</author>
<author pid="07/3797-1">Sayan Mitra 0001</author>
<author pid="358/7123">John Schierman</author>
<author pid="23/2759-1">Mahesh Viswanathan 0001</author>
<title>Searching for Optimal Runtime Assurance via Reachability and Reinforcement Learning.</title>
<year>2023</year>
<volume>abs/2310.04288</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2310.04288</ee>
<url>db/journals/corr/corr2310.html#abs-2310-04288</url>
</article>
</r>
<coauthors n="6" nc="1">
<co c="0"><na f="h/Hobbs:Kerianne" pid="200/8219">Kerianne Hobbs</na></co>
<co c="0"><na f="m/Miller:Kristina" pid="269/9725">Kristina Miller</na></co>
<co c="0"><na f="m/Mitra_0001:Sayan" pid="07/3797-1">Sayan Mitra 0001</na></co>
<co c="0"><na f="s/Shen:William" pid="244/9547">William Shen</na></co>
<co c="0"><na f="v/Viswanathan_0001:Mahesh" pid="23/2759-1">Mahesh Viswanathan 0001</na></co>
<co c="0"><na f="z/Zeitler:Christopher_K=" pid="348/9471">Christopher K. Zeitler</na></co>
</coauthors>
</dblpperson>

