Two-Player Zero-Sum Games with Bandit Feedback
PositiveArtificial Intelligence
This article explores a fascinating two-player zero-sum game where one player seeks to maximize their payoff against an adversarial opponent, using bandit feedback to estimate an unknown payoff matrix. It introduces three innovative algorithms based on the Explore-Then-Commit framework, enhancing strategies in competitive scenarios.
— Curated by the World Pulse Now AI Editorial System
