@inproceedings{8ac6d308097e4458b83b7934fa8b43de,
title = "Sequential extensions of causal and evidential decision theory",
abstract = "Moving beyond the dualistic view in AI where agent and environment are separated incurs new challenges for decision making, as calculation of expected utility is no longer straightforward. The nondualistic decision theory literature is split between causal decision theory and evidential decision theory. We extend these decision algorithms to the sequential setting where the agent alternates between taking actions and observing their consequences.",
keywords = "Causal decision theory, Causal graphical models, Dualism, Evidential decision theory, Physicalism, Planning",
author = "Tom Everitt and Jan Leike and Marcus Hutter",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 4th International Conference on Algorithmic Decision Theory, ADT 2015 ; Conference date: 27-09-2015 Through 30-09-2015",
year = "2015",
doi = "10.1007/978-3-319-23114-3_13",
language = "English",
isbn = "9783319231136",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "205--221",
editor = "Toby Walsh",
booktitle = "Algorithmic Decision Theory - 4th International Conference, ADT 2015, Proceedings",
address = "Germany",
}