Smoothed Adversarial Linear Contextual Bandits with Knapsacks

Vidyashankar Sivakumar, Shiliang Zuo, Arindam Banerjee

Abstract: Many bandit problems are characterized by the learner making decisions under constraints. The learner in Linear Contextual Bandits with Knapsacks (LinCBwK) receives a resource consumption vector in...