Generalized Linear Model (GLM) Bandits on Nonstationary GLM Bandits Drifting environments
1RegretMASTER + GLM-UCB
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MASTER + GLM-UCBAlgorithm Type=Restart + MLE, Assumption=Bounded Reward2026.05 | 1 | — | — | |
| RestartGLBAlgorithm Type=Restart + MLE, Assumption=Sub-Gaussian Noise2026.05 | 2 | 2 | 2 | |
| BVD-GLM-UCBAlgorithm Type=Discount + MLE, Assumption=Bounded Reward2026.05 | 9 | — | — | |
| DOMD-GLBAlgorithm Type=Discount + OMD, Assumption=Bounded Reward, Reference=Theorem 22026.05 | — | 1 | 1 |