Many real-world games contain parameters which can affect payoffs, action spaces, and information states. For fixed values of the parameters, the game can be solved using standard algorithms. However, in many settings agents must act without knowing the values of the parameters that will be encountered in advance. Often the decisions must be made by a human under time and resource constraints, and it is unrealistic to assume that a human can solve the game in real time. We present a new framework that enables human decision makers to make fast decisions without the aid of real-time solvers. We demonstrate applicability to a variety of situations including settings with multiple players and imperfect information.

翻译：许多现实世界的博弈包含参数，这些参数会影响收益、行动空间和信息状态。对于固定的参数值，可以使用标准算法求解博弈。然而，在许多情境下，智能体必须在事先不知道将遇到的参数值的情况下行动。通常，决策必须由人类在时间和资源限制下做出，而假设人类能够实时求解博弈是不现实的。我们提出了一种新框架，使人类决策者能够在没有实时求解器辅助的情况下快速做出决策。我们证明了该方法适用于多种情境，包括多智能体和不完全信息设置。