Contextual bandits are algorithms that decide which action to take (like displaying ads or recommending products) based on the current situation (context) to maximize rewards (clicks, sales). They learn over time what works best in each context, balancing new trials with proven options.

+1 a resource I linked in one more comment, sharing here as well.

This has been tried and tested a few times in industry, notably at Netflix and Duolingo for artwork and notifications

https://towardsdatascience.com/multi-armed-bandits-part-1-b8...