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cs.LG2020★ 1 cited
The Influence of Shape Constraints on the Thresholding Bandit Problem
James Cheshire, Pierre Menard, Alexandra Carpentier
We investigate the stochastic Thresholding Bandit problem (TBP) under several shape constraints. On top of (i) the vanilla, unstructured TBP, we consider the case where (ii) the se…
cs.LG2020★ 2 cited
Kernel-Based Reinforcement Learning: A Finite-Time Analysis
Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta +2
We consider the exploration-exploitation dilemma in finite-horizon reinforcement learning problems whose state-action space is endowed with a metric. We introduce Kernel-UCBVI, a m…