agent/papers/items/2026-2605-24812-core-code-collaborative-reinforcement-learning-for-code-generation.md

Paper: CoRe-Code: Collaborative Reinforcement Learning for Code Generation

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type: paper title: "CoRe-Code: Collaborative Reinforcement Learning for Code Generation" authors: Zhihao Dou, Qinjian Zhao, Zhongwei Wan, Xiaoyu Xia, Sumon Biswas year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.24812 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-24 updated_at: 2026-05-24 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• coding-agent
• memory
• multi-agent
• planning
• rag methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

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related_projects:

collection_score: 16 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, agent-safety, coding-agent, memory, multi-agent, planning, rag
• arXiv categories: cs.AI
• collection score: 16

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/2605.24812