agent/papers/items/2026-2607-04713-rspo-reward-swap-policy-optimization-for-multi-turn-llm-agents.md

Paper: RSPO: Reward-Swap Policy Optimization for Multi-Turn LLM Agents

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type: paper title: "RSPO: Reward-Swap Policy Optimization for Multi-Turn LLM Agents" authors: Qiang Liu, Taian Guo, Ruizhi Qiao, Xing Sun year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.04713 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-06 updated_at: 2026-07-06 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• planning
• rag methods:

benchmarks:

models:

datasets:

• cs.LG
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 collection_queries: agent-evaluation, llm-agent

One-line Takeaway

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

Why Collected

• matched queries: agent-evaluation, llm-agent
• inferred topics: agent-evaluation, agent-safety, planning, rag
• arXiv categories: cs.LG, cs.AI
• collection score: 16

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/2607.04713