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cs.LG2024
Is Prior-Free Black-Box Non-Stationary Reinforcement Learning Feasible?
Argyrios Gerogiannis, Yu-Han Huang, Venugopal V. Veeravalli
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…
cs.DS2024
High Probability Latency Sequential Change Detection over an Unknown Finite Horizon
Yu-Han Huang, Venugopal V. Veeravalli
A finite horizon variant of the quickest change detection problem is studied, in which the goal is to minimize a delay threshold (latency), under constraints on the probability of…