Bilinear World Models: Learning Representations with Structured Dynamics for Efficient Control
Overview
A new research paper proposes bilinear world models using JEPA-style architecture to enable efficient control through structured latent dynamics, supporting action recoverability.
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- arXiv Robotics — research abstractsBilinear World Models: Learning Representations with Structured Dynamics for Efficient Control
This research proposes a JEPA-style world model with bilinear parameterization of latent dynamics, enabling efficient planning and control. The structured approach allows for action recoverability and prevents representation collapse, demonstrating success in both long-horizon planning and real-time control tasks.
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