wuyang
1.3 KiB
1.3 KiB
Paper: APPO: Agentic Procedural Policy Optimization
type: paper title: "APPO: Agentic Procedural Policy Optimization" authors: Xucong Wang, Ziyu Ma, Yong Wang, Yuxiang Ji, Shidong Yang, Guanhua Chen, Pengkun Wang, Xiangxiang Chu year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.12384 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-10 updated_at: 2026-06-10 status: queued relevance: high topics:
- agent-evaluation
- tool-use
- workflow-agent methods:
benchmarks:
models:
datasets:
- cs.LG
- cs.AI related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 14 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, tool-use, workflow-agent
- arXiv categories: cs.LG, cs.AI
- collection score: 14
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
queuedtoskimmedorsummarized?