Han-Zhang Wang

How Learning Selects Equilibria and When It Leads to Collusion

We study how learning algorithm design shapes equilibrium selection in infinite-horizon discounted Markov games with finite states and actions. Each episode, players choose smooth best responses to beliefs about opponents'policies, test them using noisy observations, and resample rejected beliefs or explore at rates de...