New answers tagged rewards
0
What you define as regret is the case of Stochastic MAB's i.e MAB's with a fixed distribution. First of all the idea of regret in an Online setting is the loss incurred compared to the best agent (NOTE: I have used the term best agent as it can have differeing strategies, resulting in different best agents, in general we deal with a static agent, i.e whose ...
Top 50 recent answers are included
