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Solving Limited Memory Influence Diagrams
2012
The Journal of Artificial Intelligence Research
We present a new algorithm for exactly solving decision making problems represented as influence diagrams. We do not require the usual assumptions of no forgetting and regularity; this allows us to solve problems with simultaneous decisions and limited information. The algorithm is empirically shown to outperform a state-of-the-art algorithm on randomly generated problems of up to 150 variables and 10^64 solutions. We show that these problems are NP-hard even if the underlying graph structure
doi:10.1613/jair.3625
fatcat:sfgkiovfdjbgpcihpt3z2lvima