So sánh phương pháp

	Thuật toán Multi-Armed Bandit (UCB, Thompson Sampling)	Nghiên cứu đối chứng ngẫu nhiên (RCT)
Lĩnh vực	Thiết kế thí nghiệm	Thiết kế thí nghiệm
Họ	Hypothesis test	Hypothesis test
Năm ra đời	1952	1948
Người khởi xướng	Robbins (1952); UCB1 by Auer et al. (2002); Thompson sampling by Thompson (1933)	James Lind (early precursor, 1747); modern formulation: Austin Bradford Hill & Medical Research Council (1948)
Loại	Sequential decision / bandit algorithm	Interventional comparative study
Công trình gốc	Auer, P., Cesa-Bianchi, N., & Fischer, P. (2002). Finite-Time Analysis of the Multiarmed Bandit Problem. Machine Learning, 47(2–3), 235–256.	Schulz, K.F., Altman, D.G., Moher, D., for the CONSORT Group (2010). CONSORT 2010 Statement: Updated Guidelines for Reporting Parallel Group Randomised Trials. BMJ, 340, c332.
Tên gọi khác	MAB, bandit algorithm, UCB1, Thompson sampling	RCT, randomised controlled trial, clinical trial, Randomize Kontrollü Çalışma (RCT) Tasarımı
Liên quan	4	7
Tóm tắt	The multi-armed bandit (MAB) is an adaptive experimental framework that allocates trials sequentially across competing arms to minimise cumulative regret while simultaneously learning which arm performs best. Formalised by Robbins in 1952 and given finite-time guarantees by Auer et al. (2002), it balances exploration of uncertain options against exploitation of currently known best options — outperforming classical A/B testing whenever early stopping or cost-sensitive allocation matters.	A randomized controlled trial (RCT) is the gold standard experimental design in clinical and health research, in which participants are randomly allocated to a treatment group or a control group so that the effect of an intervention can be measured with the highest possible degree of internal validity. The modern parallel-group RCT was formalized by Austin Bradford Hill and the Medical Research Council in their landmark streptomycin trial of 1948, and its reporting is governed today by the CONSORT 2010 guidelines (Schulz et al., 2010).