Mohammad Sadegh Talebi Mazraeh Shahi

Combinatorial Bandits Revisited

This paper investigates stochastic and adversarial combinatorial multi-armed bandit problems. In the stochastic setting under semi-bandit feedback, we derive a problem-specific regret lower bound, and discuss its scaling with the dimension of the decision space. We propose ESCB, an algorithm that ef…