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stat.ML2026
Exploration strategies for Gaussian process bandit optimization with inference regret guarantees
Hwanwoo Kim, Jungwoo Hong, Kyungjae Lee
Existing cumulative regret guarantees for Bayesian optimization (BO) do not necessarily characterize the quality of the algorithm's final output. This gap is critical under noisy e…
stat.ML2026
Implicit Q-Learning and SARSA: Liberating Policy Control from Step-Size Calibration
Hwanwoo Kim, Eric Laber
Q-learning and SARSA are foundational reinforcement learning algorithms whose practical success depends critically on step-size calibration. Step-sizes that are too large can cause…