Solving Decision Problems with Limited Information
2011-12-01NeurIPS 2011Unverified0· sign in to hype
Denis D. Maua, Cassio Campos
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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.