  We study learning by privately informed forward-looking agents in a simple
repeated-action setting of social learning. Under a symmetric signal structure,
forward-looking agents behave myopically for any degrees of patience. Myopic
equilibrium is unique in the class of symmetric threshold strategies, and the
simplest symmetric non-monotonic strategies. If the signal structure is
asymmetric and the game is infinite, there is no equilibrium in myopic
strategies, for any positive degree of patience.
