Author

Mengying Liu

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Preprint Jul 2026

Progress-conditioned Group Policy Optimization for Long-Horizon Agentic Tasks

Progress-conditioned Group Policy Optimization is proposed, which uses first-visit observation coverage only when all samples in a group receive zero outcome reward, and consistently improves over group-based baselines, with particularly large gains on hard tasks.

Kaibing Yang, Guangfeng Cai, Shengtian Yang et al. · 0 citations