Reinforcement Learning, Machine Learning, Deep Learning.
Introduction Multi-arm bandits are one of the fundamental problems in reinforcement learning. The problem can be described as follows: there are multiple slot machines (arms), each with a different reward distribution, and the objective is to find the machine with the highest expected reward by