Multi-Armed Bandit to optimize the pricing strategy for consumer loans
This thesis explores the possibility of framing the problem of setting prices for consumer loans on loan comparison sites as a Multi-Armed Bandit Problem. The problem is solved by creating a Multi-Armed Bandit environment based on SEB:s expert knowledge of the problem. Different Multi-Armed Bandit algorithms are then compared in a stationary environment after which the best performing algorithm is
