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2011 NeurIPS NeurIPS 2011

Solving Decision Problems with Limited Information

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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Knowledge & Reasoning
📈 Trend Setter - Bayesian Networks
🐣 Hot Topic Early Bird - probabilistic graphical model

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