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可影响收益、行动空间和信息状态的参数。对于参数的固定值，可使用标准算法求解博弈。然而，在许多场景中，智能体必须在无法预先获知将遇到的参数值的情况下采取行动。通常这些决策需由人类在时间和资源约束下做出，而假设人类能实时求解博弈是不切实际的。我们提出了一种新框架，使人类决策者无需借助实时求解器即可做出快速决策。我们证明了该方法在多种情境下的适用性，包括多玩家和不完美信息场景。