Poker Effective Hand Strength (EHS) algorithm Poker Effective Hand Strength (EHS) algorithm Effective Hand Strength (EHS) is a poker algorithm conceived by computer scientists Darse Billings, Denis Papp, Jonathan Schaeffer and Duane Szafron that has been published for the first time in a It has since then been considered as a reference in the realm of poker artificial intelligence and has been the basis of further research such as: The algorithm is a numerical approach to quantify the strength of a poker hand where its result expresses the strength of a particular hand in percentile (i.e. ranging from 0 to 1), compared to all other possible
Asia Poker player's hand to the house's hand. If the house wins at least two out of three hands, the player loses. If the player wins at least two or out of three hands the player wins. Unlike Pai gow poker, the casino does not charge a 5% vigorish for winning wagers. Rather, the house edge comes from winning all "copy hands" (a player's hand that is identical to the house's hand). Also, unlike Pai gow poker there are no ties in this game; the player either wins or loses. The House edge figures to be around 3% based on the probability