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
Late Night Poker Night Poker" tended to use these cameras in a rather minimalist way. For example, in a two-way pot, often only one player's cards were shown, with the commentators trying to infer from the other player's actions what cards he or she held, and how the first player should act. Because of this, the commentary often mirrored the actual decision-making process of a Poker player. Only late in the hand, at the time of a critical decision, would the other player's cards be shown, possibly revealing a startling bluff or an unexpectedly strong hand. The original 6 series of Late Night