Multi Armed Bandits

The multi-armed bandit problem refers to the issue of maximizing expected rewards by allocating limited resources among several competitive options. At its core, this task involves the trade-off between exploration and exploitation, and it has significant theoretical and practical value, with wide applications in online advertising, optimization of recommendation systems, and other fields.