Memory is a core component of AI agents, enabling them to accumulate experience, maintain personalization, and adapt over long-term interactions. However, existing memory systems often remain fixed after development, limiting their ability to adapt their memory models, organization strategies, and procedural knowledge...
Kaichao Liang, Yu-Qi Cui, Hao Kong et al.· 0 citations
This work decomposes each operator's utility into a coverage effect on evidence omitted by retention and a signed replacement effect on raw evidence that already fits, which explains why the preferred action changes with relative budget pressure.
Qingcan Kang, Mingyang Liu, Shixiong Kai et al.· arXiv.org· 1 citation
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