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#artificial intelligence Preprint Sep 2026

Agentic Pressure: The Endogenous Entropy of Reliable Autonomy

Achieving reliable autonomy in the wild requires agents to sustain continuous operations across long-horizon trajectories. However, as agents navigate these unconstrained settings, they encounter cumulative friction that inherently destabilizes their alignment. In this paper, we identify a distinct non-adversarial phen...

Heng-Le Jiang, Zi-Ying Luo, K. Tang · 0 citations
#artificial intelligence Preprint Sep 2026

MOAE: Multi-Objective Agent Evolution with Pareto-Preserving Search

Multi-Objective Agent Evolution (MOAE) is introduced, which organizes iterative in-context refinement as a Pareto-preserving evolutionary search over complete agent rollouts and consistently improves task performance and trajectory quality while maintaining strong safety under matched rollout budgets.

Heng-Le Jiang, Qi-Jun Cai, Zi-Ying Luo et al. · 0 citations

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