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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.03054 |
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| _version_ | 1866915006011932672 |
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| author | Zamir, Ram Rose, Kenneth |
| author_facet | Zamir, Ram Rose, Kenneth |
| contents | The inherent trade-off in on-line learning is between exploration and exploitation. A good balance between these two (conflicting) goals can achieve a better long-term performance. Can we define an optimal balance? We propose to study this question through a backward-adaptive lossy compression system, which exhibits a "natural" trade-off between exploration and exploitation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_03054 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Alternate Learning and Compression Approaching R(D) Zamir, Ram Rose, Kenneth Information Theory The inherent trade-off in on-line learning is between exploration and exploitation. A good balance between these two (conflicting) goals can achieve a better long-term performance. Can we define an optimal balance? We propose to study this question through a backward-adaptive lossy compression system, which exhibits a "natural" trade-off between exploration and exploitation. |
| title | Alternate Learning and Compression Approaching R(D) |
| topic | Information Theory |
| url | https://arxiv.org/abs/2411.03054 |