Solving Decision Problems with Limited Information


Autoria(s): Mauá, D. D.; de Campos, C. P.
Contribuinte(s)

Shawe-Taylor, J.

Zemel, R.S.

Bartlett, P.

Pereira, F.C.N.

Weinberger, K.Q.

Data(s)

2011

Resumo

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.

Identificador

http://pure.qub.ac.uk/portal/en/publications/solving-decision-problems-with-limited-information(84045367-2e91-4b75-ac7f-43f46f3b76c6).html

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Mauá , D D & de Campos , C P 2011 , Solving Decision Problems with Limited Information . in J Shawe-Taylor , R S Zemel , P Bartlett , F C N Pereira & K Q Weinberger (eds) , Advances in Neural Information Processing Systems (NIPS) 24 . pp. 603-611 .

Palavras-Chave #influence diagrams
Tipo

contributionToPeriodical