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
Poker Effective Hand Strength (EHS) algorithm hands. The underlying assumption is that an Effective Hand Strength (EHS) is composed of the current Hand Strength (HS) and its potential to improve or deteriorate (PPOT and NPOT): where: Hand Strength (HS) will enumerate all possible opponent hand cards and count the occurrences where our hand is strongest (+50% of the cases where we are tied): codice_1 In addition, EHS will consider the hand potential (i.e. its probabilities to improve or deteriorate): codice_2 EHS is applicable to a wide variety of poker games such as Texas hold 'em poker, Omaha hold 'em poker, ... Given the complexity of the