---
id: 20261013-T0-11
title: "Beyond Binary Verifiable Rewards: Behavioral Self-Rewarding for SWE Agents"
url: https://ai.daily.yangsir.net/daily/20261013-T0-11
issue_date: 2026-10-13
publish_date: 2026-10-12T04:00:00.000Z
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2610.12598
---

# Beyond Binary Verifiable Rewards: Behavioral Self-Rewarding for SWE Agents

arXiv:2610.12598v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) provides reliable supervision for software engineering agents through executable tests, but binary rewards fail to distinguish trajectories with substantially different debugging quality. We investi

---

**来源**：[arXiv cs.AI](https://arxiv.org/abs/2610.12598)

**详情页**：https://ai.daily.yangsir.net/daily/20261013-T0-11

---

*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*