Normal Bandits of Unknown Means and Variances: Asymptotic Optimality, Finite Horizon Regret Bounds, and a Solution to an Open Problem. - Wesley Cowan; Michael N. Katehakis (CoRR, 2015)

An Asymptotically Optimal UCB Policy for Uniform Bandits of Unknown Support. - Wesley Cowan; Michael N. Katehakis (CoRR, 2015)

Asymptotic Behavior of Minimal-Exploration Allocation Policies: Almost Sure, Arbitrarily Slow Growing Regret. - Wesley Cowan; Michael N. Katehakis (CoRR, 2015)

Normal Bandits of Unknown Means and Variances. - Wesley Cowan; Junya Honda; Michael N. Katehakis (J. Mach. Learn. Res., 2017)

Reinforcement Learning: a Comparison of UCB Versus Alternative Adaptive Policies. - Wesley Cowan; Michael N. Katehakis; Daniel Pirutinsky (CoRR, 2019)

Accelerating the Computation of UCB and Related Indices for Reinforcement Learning. - Wesley Cowan; Michael N. Katehakis; Daniel Pirutinsky (CoRR, 2019)

Optimal Activation of Halting Multi-Armed Bandit Models. - Wesley Cowan; Michael N. Katehakis; Sheldon M. Ross (CoRR, 2023)