Nonstationary Generalized Linear Bandits with Discounted Online Mirror Descent
DOMD-GLB is proposed, a new algorithm for nonstationary GLBs that utilizes discounted online mirror descent (DOMD) for parameter estimation, thereby incurring only $O(1)$ computation and memory costs per round, the first algorithm for nonstationary GLBs with per-round computation and memory costs independent of time.