Author

Rohit Jain

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#artificial intelligence Preprint Sep 2026

SHARPO: Segment-Level Credit Assignment for Agentic Reinforcement Learning

Agentic reinforcement learning (RL) trains a large language model (LLM) to act over long, multi-step interactions. However, a single localized error can cause task failure, while trajectory-level rewards provide limited guidance for assigning credit to individual decisions. To address this limitation, we introduce Segm...

Xin-Chen Du, Zheng-Ze Zhou, Wen-Hui Zhu et al. · 0 citations

Preprint Aug 2026

Practical Online KV Cache Compaction for LLM Agents: An Empirical Study

This work studies online compaction across token eviction (TE) and attention matching (AM), adapting both to compact agent turns and comparing cheap proxy sources such as boundary, repeat-prefill, and delayed future-generation queries, finding TE is often more robust than AM under imperfect proxies.

Yujian Liu, Jiabao Ji, Li An et al. · 1 citation