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arXiv 2610.22448 · cs.LG · 2026-10-15

Lean4AgenticRL: Advancing Agentic RL with Verifiable Multi-level Process Rewards

Ruida Wang, Gerald Friedland, Tong Zhang, Chris Kong

Amazon

Archived · 2026-10 Added on 2026-10-24

One-line takeaway

Amazon's Lean4AgenticRL adds verifiable multi-level process rewards to agentic RL for software-engineering and terminal tasks, grounding tool-call, workflow-stage and outcome rewards in a unified Lean4 formalization instead of relying on outcome rewards alone.

Amazon 的 Lean4AgenticRL 给软件工程和终端任务的智能体强化学习加上多层过程奖励:把工具调用级、工作流阶段级和最终结果奖励统一建立在 Lean4 形式化之上,可验证,弥补只用最终结果奖励训练效率低的问题。

24HF upvotes
2GitHub stars
0Citations (Semantic Scholar)
40.6Buzz score

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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-25.

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