Leveraging Machine-Learned Advice in Strategic Interactions with No-Regret Learners

Tinashe Handina, Tongxin Li, Kishan Panaganti +2

We study how an agent in a two-player repeated game can effectively utilize potentially imperfect advice when interacting with a no-regret learner. We characterize the advice lands…