agent/papers/items/2026-2605-06078-milestone-guided-policy-learning-for-long-horizon-language-agents.md

Paper: Milestone-Guided Policy Learning for Long-Horizon Language Agents

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type: paper title: Milestone-Guided Policy Learning for Long-Horizon Language Agents authors: Zixuan Wang, Yuchen Yan, Hongxing Li, Teng Pan, Dingming Li, Ruiqing Zhang, Weiming Lu, Jun Xiao, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.06078 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-07 updated_at: 2026-05-07 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

• cs.CL
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: language-agent

One-line Takeaway

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

Why Collected

• matched queries: language-agent
• inferred topics: agent-evaluation, computer-use, planning, rag, tool-use
• arXiv categories: cs.CL, 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/2605.06078