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Jiaqing Liang

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#artificial intelligence Preprint Sep 2026

Beyond Skill Evolution: Self-Evolving Context Management Policies for Long-Horizon Agent Harnesses

Harness evolution improves LLM agents by learning from execution trajectories, but existing experience- and skill-based methods are less effective on long-horizon tasks. As interactions grow, useful evidence can be buried by redundant or outdated context, making context management itself a key bottleneck. We introduce...

Wei-Yuan Li, Jing-Heng Xu, Ai-Li Chen et al. · 0 citations
Preprint Jun 2026

From Outcomes to Actions: Leveraging Hindsight for Long-Horizon Language Agent Training

A novel policy gradient method is introduced, Hindsight Policy Optimization (HPO), that projects both the current policy distribution and the hindsight distribution into an intent space and extracts low-variance learning signals from the Wasserstein distance between them.

Zishang Jiang, Tingyun Li, Jinyi Han et al. · 0 citations

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