agent/papers/items/2026-2607-13854-spyce-skill-policy-co-evolution-for-multimodal-agents.md

Paper: SPyCE: Skill-Policy Co-evolution for Multimodal Agents

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type: paper title: "SPyCE: Skill-Policy Co-evolution for Multimodal Agents" authors: Ru Zhang, Weijie Qiu year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.13854 code_url: source: arxiv collected_at: 2026-07-27 published_at: 2026-07-15 updated_at: 2026-07-15 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• memory
• rag
• reasoning
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: tool-use

One-line Takeaway

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

Why Collected

• matched queries: tool-use
• inferred topics: agent-evaluation, computer-use, memory, rag, reasoning, tool-use, workflow-agent
• arXiv categories: cs.CL
• 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/2607.13854