Solving Decision Problems with Limited Information
Abstract
We present a new algorithm for exactly solving decision-making problems represented as an influence diagram. We do not require the usual assumptions of no forgetting and regularity, which allows us to solve problems with limited information. The algorithm, which implements a sophisticated variable elimination procedure, is empirically shown to outperform a state-of-the-art algorithm in randomly generated problems of up to 150 variables and $10^{64}$ strategies.
Cite
Text
Maua and Campos. "Solving Decision Problems with Limited Information." Neural Information Processing Systems, 2011.Markdown
[Maua and Campos. "Solving Decision Problems with Limited Information." Neural Information Processing Systems, 2011.](https://mlanthology.org/neurips/2011/maua2011neurips-solving/)BibTeX
@inproceedings{maua2011neurips-solving,
title = {{Solving Decision Problems with Limited Information}},
author = {Maua, Denis D. and Campos, Cassio},
booktitle = {Neural Information Processing Systems},
year = {2011},
pages = {603-611},
url = {https://mlanthology.org/neurips/2011/maua2011neurips-solving/}
}