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Preprint Oct 2026

I-BFM: Reward-Conditioned Robust Humanoid Interaction via Unsupervised Reinforcement Learning

Behavioral foundation models (BFMs) have recently shown that a single humanoid policy can support diverse whole-body control, but extending such generality to physical interaction remains challenging. We introduce I-BFM, to our knowledge the first BFM for humanoid-object interaction. Rather than relying on task-specifi...

Zi-Qi Han, Yi-Tang Li, Jun Sun et al. · 0 citations
#machine learning Preprint Sep 2026

FlexiWorld: Learning and Planning via Flexible Action Chunks Across Multiple Time Scales

Latent world models predict future states for goal-directed planning using action chunks spanning multiple primitive steps. Existing methods typically use fixed-length chunks and either omit goal-conditioned action generation or limit their supervision to short goal spans. We introduce FlexiWorld, a JEPA-based world mo...

Shi-Du Ren, Qi Gu, Zheng-Hao Ni et al. · 0 citations

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