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20182023
most citedLinear Programming for Decision Processes with Partial Information

2 citations · 4 across the 4 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

math.PR2019★ 1 cited

Two generalizations of Markov blankets

Victor Cohen, Axel Parmentier

In a probabilistic graphical model on a set of variables , the Markov blanket of a random vector is the minimal set of variables conditioned to which is independent from…

math.OC2019

Integer programming on the junction tree polytope for influence diagrams

Axel Parmentier, Victor Cohen, Vincent Leclère +2

Influence Diagrams (ID) are a flexible tool to represent discrete stochastic optimization problems, including Markov Decision Process (MDP) and Partially Observable MDP as standard…