Bilinear World Models: Learning Representations with Structured Dynamics for Efficient Control
cs.RO, cs.SY, eess.SY
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
- LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
- A Short Introduction to the Koopman Representation of Dynamical Systems
- VL-JEPA: Joint Embedding Predictive Architecture for Vision-language
- Learning Latent Dynamics for Planning from Pixels
- Dream to Control: Learning Behaviors by Latent Imagination
- Sensorimotor World Models: Perception for Action via Inverse Dynamics
- LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
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