Lukas Zierahn

Nonstochastic Contextual Combinatorial Bandits

We study a contextual version of online combinatorial optimisation with full and semi-bandit feedback. In this sequential decision-making problem, an online learner has to select an action from a combinatorial decision space after seeing a vector-valued context in each round. As a result of its acti…