Before revision:  We also provide a learning-based microfoundation for PCE in some easy-to-analyze classes of games .
After revision:  We also provide a learning-based microfoundations for our cross-player tremble restrictions in a class of games using three different specifications of how agents handle the exploration/exploitation trade-off: expected utility maximization, Bayesian upper confidence bounds, and Thompson sampling .