Dual-Frontier, a learning principle that admits a world-model-guided decision only when its predicted advantage exceeds a certified bound on decision-relevant world-model error; otherwise, evidence is allocated to world-model verification.
Hua-Tai Zhu, Qiang Chen, Zi-Qian Kou et al.
· 1 citation
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FireWorldBench evaluates whether models can infer latent physical states, explain underlying mechanisms, forecast coupled-field evolution, and assess intervention consequences from multimodal partial observations, providing a challenging testbed for complex physical world intelligence.
Qiang Chen, Hao Guo, Hua-Tai Zhu et al.
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Preprint
Aug 2026
Xpolicylab is released as shared infrastructure for reproducible policy comparison and standardized deployment across simulation and physical platforms for reproducible policy comparison and standardized deployment across simulation and physical platforms.
XPolicyLab Community, Tian-Xing Chen, Yue Chen et al.
· 6 citations
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