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Solving Decision Problems with Limited Information
This video was recorded at Video Journal of Machine Learning Abstracts - Volume 2. 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.
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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
