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Data-Driven Knowledge Transfer in Batch $Q^*$ Learning
April 24, 2024, 4:42 a.m. | Elynn Chen, Xi Chen, Wenbo Jing
cs.LG updates on arXiv.org arxiv.org
Abstract: In data-driven decision-making in marketing, healthcare, and education, it is desirable to utilize a large amount of data from existing ventures to navigate high-dimensional feature spaces and address data scarcity in new ventures. We explore knowledge transfer in dynamic decision-making by concentrating on batch stationary environments and formally defining task discrepancies through the lens of Markov decision processes (MDPs). We propose a framework of Transferred Fitted $Q$-Iteration algorithm with general function approximation, enabling the direct …
abstract arxiv cs.lg data data-driven decision dynamic education environments explore feature healthcare knowledge making marketing spaces stat.me stat.ml transfer type
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