agent/papers/items/2026-2605-21240-apex-autonomous-policy-exploration-for-self-evolving-llm-agents.md

Paper: APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents

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type: paper title: "APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents" authors: Yibo Li, Jiashuo Yang, Zhi Zheng, Zhiyuan Hu, Yuan Sui, Shizun Wang, Yufei He, Bryan Hooi year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.21240 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-20 updated_at: 2026-05-20 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

• cs.LG
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 17 collection_queries: planning-agent

One-line Takeaway

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

Why Collected

• matched queries: planning-agent
• inferred topics: agent-evaluation, memory, planning, reasoning, tool-use
• arXiv categories: cs.LG, cs.AI
• collection score: 17

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/2605.21240