Beyond the Nash Equilibrium: DeepMind's Clever Strategy to Solve Asymmetric Games

Game theory is one of the most relevant aspects in modern multi-agent artificial intelligent(AI) systems. To some extent, the recent evolution of AI has triggered a renaissance in the field of game theory fostering innovation across all sorts of new areas. One of those areas is the field of asymmetric games that describe settings in which different players can follow different strategies. Last year, Alphabet's subsidiary DeepMind published a super innovative way to tackle asymmetric game problems. DeepMind's breakthrough can have profound implications in modern multi-agent, AI systems that are often modeled as asymmetric games.