The Query Complexity of Correlated Equilibria
summary
Correlated equilibria with two actions per player admit randomized algorithms find ε-CE with poly(n) queries, produced by regret‑based dynamics that run O((log n)/ε^2) steps and yield an empirical distribution of support O((log n)/ε^2). By contrast deterministic or exact algorithms require Ω(2^n) queries (or count support plus queries) via a hypercube construction that labels edges by regrets and a hypercube random-path construction that hides the unique exact equilibrium endpoint, forcing exponential pure‑query exploration.
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