A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs. Patton, N., Jeong, J., Gimelfarb, M., & Sanner, S. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22), Online, 2022.
![A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs [pdf]](https://bibbase.org/img/filetypes/pdf.svg "pdf")
Paper bibtex 23 downloads
Paper bibtex 23 downloads @inproceedings{sanner:aaai22a,
author = {Noah Patton and Jihwan Jeong and Michael Gimelfarb and Scott Sanner},
title = {A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs},
year = {2022},
booktitle = {Proceedings of the 36th {AAAI} Conference on Artificial Intelligence ({AAAI-22})},
address = {Online},
url_paper = {https://ssanner.github.io/papers/aaai22_raptor.pdf}
}Downloads: 23
{"_id":"mRnnyy83Yxf7y5Tud","bibbaseid":"patton-jeong-gimelfarb-sanner-adistributionalframeworkforrisksensitiveendtoendplanningincontinuousmdps-2022","author_short":["Patton, N.","Jeong, J.","Gimelfarb, M.","Sanner, S."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Noah"],"propositions":[],"lastnames":["Patton"],"suffixes":[]},{"firstnames":["Jihwan"],"propositions":[],"lastnames":["Jeong"],"suffixes":[]},{"firstnames":["Michael"],"propositions":[],"lastnames":["Gimelfarb"],"suffixes":[]},{"firstnames":["Scott"],"propositions":[],"lastnames":["Sanner"],"suffixes":[]}],"title":"A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs","year":"2022","booktitle":"Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22)","address":"Online","url_paper":"https://ssanner.github.io/papers/aaai22_raptor.pdf","bibtex":"@inproceedings{sanner:aaai22a,\n\tauthor = {Noah Patton and Jihwan Jeong and Michael Gimelfarb and Scott Sanner},\n\ttitle = {A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs},\n\tyear = {2022},\n\tbooktitle = {Proceedings of the 36th {AAAI} Conference on Artificial Intelligence ({AAAI-22})},\n\taddress = {Online},\n\turl_paper = {https://ssanner.github.io/papers/aaai22_raptor.pdf}\n}\n\n","author_short":["Patton, N.","Jeong, J.","Gimelfarb, M.","Sanner, S."],"key":"sanner:aaai22a","id":"sanner:aaai22a","bibbaseid":"patton-jeong-gimelfarb-sanner-adistributionalframeworkforrisksensitiveendtoendplanningincontinuousmdps-2022","role":"author","urls":{" paper":"https://ssanner.github.io/papers/aaai22_raptor.pdf"},"metadata":{"authorlinks":{}},"downloads":23},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/ssanner/ssanner.github.io/master/Sanner_CV.bib","dataSources":["bu3H436jGJwM2szJd","GmTd9cvnR3QXRus38"],"keywords":[],"search_terms":["distributional","framework","risk","sensitive","end","end","planning","continuous","mdps","patton","jeong","gimelfarb","sanner"],"title":"A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs","year":2022,"downloads":23}