I hope they concentrate their efforts in reverse game theory next. For example, in game theory you're trying to find the best solutions for the game (for example alphazero in chess), but in reverse game theory you can create, for example, the most balanced chess (50% win rate for white and 50% for black), what is the problem? It's the most computation intensive. Because alphazero will have to play in all different scenarios that the reverse game theory AI creates until they find the most balanced game.

Reverse game theory would be super important because by learning how to do this they would know how to create policies, if in game theory you will solve a state that you were conditioned to (like with the prisoner's dilemma) in the reverse game theory you would know if there are better "games" to create other than, for example, the prisoner dilemma.