arXiv Artificial Intelligence

Towards Human Motion World Models via Executable Behaviour Representations

Towards Human Motion World Models via Executable Behaviour Representations

Quick summary

arXiv:2604.18064v2 Announce Type: replace Abstract: Human motion world models should capture motion's intentionality by being executable: adaptable to different actions and capable of assessing motion quality. To achieve this, we introduce a domain-specific language ExAct that represents human motions as underspecified programs that can be compiled to a reward model for zero-shot policy inference. By leveraging the compositional nature of ExAct programs, we combine individual policies into executable behaviour representations. We evaluate the utility of the proposed approach by analysing human

Key takeaways

  • arXiv:2604.18064v2 Announce Type: replace Abstract: Human motion world models should capture motion's intentionality by being executable: adaptable to different actions and capable of assessing motion quality.
  • To achieve this, we introduce a domain-specific language ExAct that represents human motions as underspecified programs that can be compiled to a reward model for zero-shot policy inference.
  • By leveraging the compositional nature of ExAct programs, we combine individual policies into executable behaviour representations.

Why it matters

The significance is not only the legal text but how it changes product design. Decisions around “Towards Human Motion World Models via Executable Behaviour Representations” may reshape data collection, model training, output accountability and market access.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗