agent/papers/items/2026-2607-03702-agent-reinforcement-learning-via-pivotal-aware-self-feedback-retry.md

Paper: Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry

---

type: paper title: Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry authors: Weiyang Guo, Zesheng Shi, Longhui Zhang, Zeen Zhu, Min Zhang, Jing Li year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.03702 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-04 updated_at: 2026-07-04 status: queued relevance: high topics:

• agent-evaluation
• planning
• rag
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: llm-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: llm-agent
• inferred topics: agent-evaluation, planning, rag, reasoning, tool-use
• arXiv categories: cs.AI
• collection score: 15

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2607.03702