Author

Sibo Zhu

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#artificial intelligence Preprint Sep 2026

RSIAgent: Autonomous Exploration for Recursive Self-improvement in New Environments

RSIAgent is introduced, a training-free multi-agent framework for recursive self-improvement through autonomous memory construction that substantially improves strong open-source models, enabling Kimi-K3 and GLM-5.3 to outperform frontier closed-source models including GPT-6.3.

Sibo Zhu, Shi-Cheng Fan, Xin-Yue Wang et al. · 5 citations

Preprint Jul 2026

StructAgent: Harness Long-horizon Digital Agents with Unified Causal Structure

This paper presents StructAgent, a state-centered framework that introduces a unified state for maintaining compact, verifiable task progress and a structured workflow that regulates progress through verifier-backed state transitions and generalizes beyond desktop environments to Minecraft, demonstrating the generality...

Wenyi Wu, Sibo Zhu, Kun Zhou et al. · 1 citation