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<dblpperson name="Tom Blau" pid="233/0118" n="9">
<person key="homepages/233/0118" mdate="2019-01-10">
<author pid="233/0118">Tom Blau</author>
</person>
<r><article publtype="informal" key="journals/corr/abs-2401-00689" mdate="2024-01-15">
<author pid="365/3900">Mahek Vora</author>
<author pid="233/0118">Tom Blau</author>
<author pid="365/3571">Vansh Kachhwal</author>
<author pid="05/5663">Ashu M. G. Solo</author>
<author pid="61/3388">Rohitash Chandra</author>
<title>Large language model for Bible sentiment analysis: Sermon on the Mount.</title>
<year>2024</year>
<volume>abs/2401.00689</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2401.00689</ee>
<url>db/journals/corr/corr2401.html#abs-2401-00689</url>
</article>
</r>
<r><article publtype="informal" key="journals/corr/abs-2305-18435" mdate="2024-08-29">
<author pid="233/0118">Tom Blau</author>
<author pid="23/1754">Edwin V. Bonilla</author>
<author pid="06/3067">Iadine Chades</author>
<author pid="13/7492">Amir Dezfouli</author>
<title>Cross-Entropy Estimators for Sequential Experiment Design with Reinforcement Learning.</title>
<year>2023</year>
<volume>abs/2305.18435</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2305.18435</ee>
<url>db/journals/corr/corr2305.html#abs-2305-18435</url>
</article>
</r>
<r><inproceedings key="conf/icml/BlauBCD22" mdate="2022-07-12">
<author pid="233/0118">Tom Blau</author>
<author pid="23/1754">Edwin V. Bonilla</author>
<author pid="06/3067">Iadine Chades</author>
<author pid="13/7492">Amir Dezfouli</author>
<title>Optimizing Sequential Experimental Design with Deep Reinforcement Learning.</title>
<pages>2107-2128</pages>
<year>2022</year>
<booktitle>ICML</booktitle>
<ee type="oa">https://proceedings.mlr.press/v162/blau22a.html</ee>
<crossref>conf/icml/2022</crossref>
<url>db/conf/icml/icml2022.html#BlauBCD22</url>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-2202-00821" mdate="2022-02-09">
<author pid="233/0118">Tom Blau</author>
<author pid="23/1754">Edwin V. Bonilla</author>
<author pid="13/7492">Amir Dezfouli</author>
<author pid="06/3067">Iadine Chades</author>
<title>Optimizing Sequential Experimental Design with Deep Reinforcement Learning.</title>
<year>2022</year>
<volume>abs/2202.00821</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2202.00821</ee>
<url>db/journals/corr/corr2202.html#abs-2202-00821</url>
</article>
</r>
<r><inproceedings key="conf/icra/BlauMF21" mdate="2021-10-22">
<author pid="233/0118">Tom Blau</author>
<author pid="128/2772">Philippe Morere</author>
<author pid="198/1152">Gilad Francis</author>
<title>Learning from Demonstration without Demonstrations.</title>
<pages>4116-4122</pages>
<year>2021</year>
<booktitle>ICRA</booktitle>
<ee>https://doi.org/10.1109/ICRA48506.2021.9561119</ee>
<crossref>conf/icra/2021</crossref>
<url>db/conf/icra/icra2021.html#BlauMF21</url>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-2106-09203" mdate="2021-06-29">
<author pid="233/0118">Tom Blau</author>
<author pid="198/1152">Gilad Francis</author>
<author pid="128/2772">Philippe Morere</author>
<title>Learning from Demonstration without Demonstrations.</title>
<year>2021</year>
<volume>abs/2106.09203</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2106.09203</ee>
<url>db/journals/corr/corr2106.html#abs-2106-09203</url>
</article>
</r>
<r><article publtype="informal" key="journals/corr/abs-2001-06940" mdate="2022-10-18">
<author pid="128/2772">Philippe Morere</author>
<author orcid="0000-0001-7910-8556" pid="198/1152">Gilad Francis</author>
<author pid="233/0118">Tom Blau</author>
<author pid="22/2488">Fabio Ramos 0001</author>
<title>Reinforcement Learning with Probabilistically Complete Exploration.</title>
<year>2020</year>
<volume>abs/2001.06940</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2001.06940</ee>
<url>db/journals/corr/corr2001.html#abs-2001-06940</url>
</article>
</r>
<r><article publtype="informal" key="journals/corr/abs-1911-08701" mdate="2022-10-18">
<author pid="233/0118">Tom Blau</author>
<author pid="117/2028">Lionel Ott</author>
<author pid="22/2488">Fabio Ramos 0001</author>
<title>Bayesian Curiosity for Efficient Exploration in Reinforcement Learning.</title>
<year>2019</year>
<volume>abs/1911.08701</volume>
<journal>CoRR</journal>
<ee type="oa">http://arxiv.org/abs/1911.08701</ee>
<url>db/journals/corr/corr1911.html#abs-1911-08701</url>
</article>
</r>
<r><inproceedings key="conf/iros/BlauOR18" mdate="2022-10-18">
<author pid="233/0118">Tom Blau</author>
<author pid="117/2028">Lionel Ott</author>
<author pid="22/2488">Fabio Ramos 0001</author>
<title>Improving Reinforcement Learning Pre-Training with Variational Dropout.</title>
<pages>4115-4122</pages>
<year>2018</year>
<booktitle>IROS</booktitle>
<ee>https://doi.org/10.1109/IROS.2018.8594341</ee>
<crossref>conf/iros/2018</crossref>
<url>db/conf/iros/iros2018.html#BlauOR18</url>
</inproceedings>
</r>
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<co c="0"><na f="b/Bonilla:Edwin_V=" pid="23/1754">Edwin V. Bonilla</na></co>
<co c="0"><na f="c/Chades:Iadine" pid="06/3067">Iadine Chades</na></co>
<co c="1"><na f="c/Chandra:Rohitash" pid="61/3388">Rohitash Chandra</na></co>
<co c="0"><na f="d/Dezfouli:Amir" pid="13/7492">Amir Dezfouli</na></co>
<co c="0"><na f="f/Francis:Gilad" pid="198/1152">Gilad Francis</na></co>
<co c="1"><na f="k/Kachhwal:Vansh" pid="365/3571">Vansh Kachhwal</na></co>
<co c="0"><na f="m/Morere:Philippe" pid="128/2772">Philippe Morere</na></co>
<co c="0"><na f="o/Ott:Lionel" pid="117/2028">Lionel Ott</na></co>
<co c="0"><na f="r/Ramos_0001:Fabio" pid="22/2488">Fabio Ramos 0001</na></co>
<co c="1"><na f="s/Solo:Ashu_M=_G=" pid="05/5663">Ashu M. G. Solo</na></co>
<co c="1"><na f="v/Vora:Mahek" pid="365/3900">Mahek Vora</na></co>
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