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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| 格式: | Thesis |
| 语言: | English |
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2023
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