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...
| 主要作者: | |
|---|---|
| 其他作者: | |
| 格式: | Thesis |
| 語言: | English |
| 出版: |
2023
|
| 主題: |