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Author

Jiazheng Xu

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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

GFD-OPD: Guidance-Folded On-Policy Distillation of Diffusion Models Across Scales

On-policy distillation (OPD) has demonstrated two important capabilities in language models: compressing large teachers into smaller students and merging expert models into a single model. Existing diffusion OPD, however, mostly focus on the latter, with teachers and students sharing the same backbone and scale. We inv...

Zhen-Xing Zhang, Jia-Yan Teng, Wen-Xu Wu et al. · 0 citations

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