We build state-of-the-art artificial intelligence programs for studying and playing strategic games: card games, video games, fantasy sports, and even professional sports. Our AI is guided by game theory that describes the principles of effective strategic decision-making and defines optimal play. Generated by computational algorithms that are mathematically proven to succeed, our programs play optimal strategies with little to no human guidance or intervention. When necessary, our AI is backed by high performance supercomputers, allowing our programs to tackle even the most complex strategic scenarios. By asking the AI what it would do in any given scenario, we can learn how to improve our own game.
Robot Shark Gaming was founded by Richard Gibson in 2015 and is situated in Victoria, BC, Canada.
Our current focus is on building game-theoretic optimal poker AI. We consult with professional poker players and build bots for a variety of poker variants along with software tools for analyzing the bots' strategies. Unlike other tools on the market, our bots report game-theoretic optimal strategies for not just the post-flop play, but for the pre-flop too. Want to know the correct range to call an opening min raise from the big blind heads-up? We can tell you.
The algorithms we use are not just applicable to poker and are general enough to be applied to other domains as well, such as strategy video games, professional sports, and fantasy sports. While rule-based and statistic-based approaches are commonly used in these fields, we believe our game-theoretic approach can create improved AI opponents in video games, shed new light on how to effectively coach and manage a professional sports team, and defeat the competition in fantasy sports.