Researchmodel distillationmobile deploymentmobapareto optimization
Distilled Game Agents Achieve Mobile Efficiency
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7.1
Researchers Xionghui Yang et al. (arXiv v1, Feb 7, 2026) present a Pareto optimality–guided pipeline and mobile-focused student architecture search to compress Honor of Kings agents for practical on-device deployment. The distilled agent achieves 12.4× faster inference (under 0.5 ms/frame), 15.6× energy efficiency (under 0.5 mAh/game), and retains a 40.32% win rate versus the teacher, demonstrating feasible mobile MOBA deployment.
Scoring Rationale
Strong empirical efficiency gains and practical pipeline justify high impact, limited by single preprint source.
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