A Multi-Armed Bandit (MAB) is a traditional downside in decision-making, the place an agent should select between a number of choices (referred to as “arms”) and maximize the overall reward over a collection of trials. The issue will get its title from a metaphor involving a gambler at a row of slot machines (one-armed bandits), every with a special however unknown chance of paying out. The objective is to search out one of the best technique to tug the arms (choose actions) and maximize the gambler’s total reward over time. The MAB downside is a flowery title for the exploitation-exploration trade-off.
The Multi-Armed Bandit downside is a foundational downside that arises in quite a few industrial functions. Let’s discover it and look at fascinating methods for fixing it.
You’ve simply arrived in a brand new metropolis. You’re a spy and plan to remain for 120 days to finish your subsequent project. There are three eating places on the town: Italian, Chinese language, and Mexican. You wish to maximize your eating satisfaction throughout your keep. Nevertheless, you don’t know which restaurant would be the greatest for you. Right here’s how the three eating places stack up:
- Italian restaurant: Common satisfaction rating of…
