The Multi Arm Bandit (MAB) problem is a wellknown

decision making problem, where the gambler (operator),

seeks the highest value and best choice among arms with

different reward distributions. In recent years, many effective...

One of the common ways for showing the trade_off

between exploration_exploitation in reinforcement learning

problems is the multi_armed bandit problem. In this paper

we consider the MABP in a nonstationary environment which...