Regret Bounds for Stochastic Shortest Path Problems with Linear Function ApproximationDownload PDFOpen Website

Published: 01 Jan 2022, Last Modified: 12 May 2023ICML 2022Readers: Everyone
Abstract: We propose an algorithm that uses linear function approximation (LFA) for stochastic shortest path (SSP). Under minimal assumptions, it obtains sublinear regret, is computationally efficient, and u...
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