Learning world models across diverse domains calls for a unified control space, yet ac- tion interfaces vary across domains and action annotations are often scarce. Latent ac- tions learned directly from videos offer a promising way to establish such a space without explicit action supervision. However, learning shared...
Zi-Yu Zhu, Zhao-Xu Sun, Fan Jiang et al.· 0 citations
WorldRoamBench is introduced, an open-world benchmark for long-horizon stability across four dimensions, each with innovations, steps toward IWMs that are stable, physically grounded, memory-faithful, and deployable in real-world applications.
This work progressively distill a bidirectional action-conditioned teacher into a causal student through teacher forcing and ODE distillation, and introduces LongForcing to align long student self-rollouts with an extended-horizon teacher, mitigating accumulated distribution shift and autoregressive drift.
Fan Jiang, Zhaoxu Sun, Mengchao Wang et al.· 6 citations
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