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Paper: Polar: Agentic RL on Any Harness at Scale


type: paper title: "Polar: Agentic RL on Any Harness at Scale" authors: Binfeng Xu, Hao Zhang, Shaokun Zhang, Songyang Han, Mingjie Liu, Jian Hu, Shizhe Diao, Zhenghui Jin, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.24220 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-22 updated_at: 2026-05-22 status: queued relevance: high topics:

  • agent-evaluation
  • coding-agent
  • multi-agent
  • tool-use methods:

benchmarks:

models:

datasets:

  • cs.DC related_concepts:

collection_score: 19 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, coding-agent, multi-agent, tool-use
  • arXiv categories: cs.DC
  • collection score: 19

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?