Person:

Ho, Kenneth

Omaha Hi-Lo Poker is a variant of the game of Poker, with more possibilities resulting from having four cards per player and a split Hi and Lo pot, compared to Texas Hold’em Poker. Recently published algorithms, commodity cloud computing, and graphics processor acceleration enable the analysis of more complex games. We use the newly published CFR+ algorithm, OpenCL heterogeneous computing framework, and Amazon Web Services cloud computing to analyse Omaha Hi-Lo Poker. Using these tools, an endgame jam/fold e-Nash Equilibrium is found and a scoring heuristic that approximates this equilibrium strategy is constructed.