Author

Si-Han Zhao

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#artificial intelligence Preprint Oct 2026

Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learning in a Long-Running Game Agent Competition

Adversarial games have driven advances from heuristic search to reinforcement learning, yet learning and adapting strategies from limited samples remain challenging. AI agents offer an alternative by turning game experience into revisions of executable policies. Building on heuristic learning (HL), we formalize Adversa...

Kai-Sen Yang, Qing-Le Liu, Ke-Jin Wang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

From Concentration to Differentiation and Back: Routing Effective Rank in MoE Reasoning Cohorts

Test-time scaling produces cohorts of reasoning rollouts, yet there is no standard label-free account of how their internal computation reorganizes as inference unfolds. We introduce routing effective rank deff, the entropy-effective dimensionality of a cross-rollout graph built from MoE expert-routing similarity. Acro...

Kang Chen, Si-Han Zhao, Yi-Xin Cao et al. · 0 citations

Preprint Aug 2026

Beyond the Trace: Coupling an Interpretable Reasoning-State Readout to Native MoE Routing

A two-level internal readout for mixture-of-experts reasoning that makes latent process state readable, while routing makes it deployable and actionable and improves single-branch selection and plain majority voting over completed candidate sets.

Kang Chen, Si-Han Zhao, Yi-Xin Cao et al. · 0 citations