We propose a new approach for running lab experiments on indefinitely repeated games with high continuation probability. This approach has two main advantages. First, it allows us to run multiple long repeated games per session. Second, it allows us to incorporate the strategy method with...

We develop a model of learning that extends the classic models of reinforcement learning to a continuous, multidimensional strategy space. The model takes advantage of the recent approximation methods to tackle the curse of dimensionality inherent to a traditional discretization approach....