A/B testing is meant for strict experiments where focus is on statistical significance, whereas multi-armed bandit algorithms are meant for continuous optimization where focus is on maintaining higher average conversion rate.
‘I’ve been to Bali too’ (and I will be going back): are terrorist shocks to Bali’s tourist arrivals permanent or transitory?,”
