Yu-Han Huang — accepted AI-conference papers

2026

DAL: A Practical Prior-Free Black-Box Framework for Piecewise Stationary Bandits

Argyrios Gerogiannis, Yu-Han Huang, Subhonmesh Bose, Venugopal Veeravalli

ICML 2026poster

We introduce a practical, black-box framework termed Detection Augmented Learning (DAL) for the problem of piecewise stationary bandits without knowledge of the underlying non-stationarity. DAL accepts any stationary bandit algorithm with order-optimal regret as input and augments it with a change d…

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2025

Is Prior-Free Black-Box Non-Stationary Reinforcement Learning Feasible?

Argyrios Gerogiannis, Yu-Han Huang, Venugopal Veeravalli

AISTATS 2025poster

We study the problem of Non-Stationary Reinforcement Learning (NS-RL) without prior knowledge about the system’s non-stationarity. A state-of-the-art, black-box algorithm, known as MASTER, is considered, with a focus on identifying the conditions under which it can achieve its stated goals. Specific…

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