Transfer in sequential decision making

<p>Transfer learning is critical for improving the data efficiency and applicability of deep learning models in sequential decision-making. However, determining what knowledge transfers and how to effectively leverage it remains an open challenge. Recent breakthroughs in representation learnin...

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Bibliografiska uppgifter
Huvudupphovsman: Luketina, J
Övriga upphovsmän: Whiteson, S
Materialtyp: Lärdomsprov
Språk:English
Publicerad: 2023
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