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arXiv · 2411.03054

Alternate Learning and Compression Approaching R(D)

Ram Zamir·Kenneth Rose
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Abstract

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.

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Ram Zamir, Kenneth Rose. 2024-11-05. Alternate Learning and Compression Approaching R(D). https://arxiv.org/abs/2411.03054

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