How Long, Not How Close: A Learned Temporal Metric for Planning in Latent World Models
cs.LG
Submitted: 2026-10-04
Updated: 2026-10-07
Terminology
Sources
- Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control
- LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
- VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
- Revisiting Feature Prediction for Learning Visual Representations from Video
- Mind the Gap: Promises and Pitfalls of Hierarchical Planning in LeWorldModel
- SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning
- D4RL: Datasets for Deep Data-Driven Reinforcement Learning
- Learning to Reach Goals via Iterated Supervised Learning
- Dream to Control: Learning Behaviors by Latent Imagination
- Temporal Difference Learning for Model Predictive Control
- Offline Reinforcement Learning with Implicit Q-Learning
- Predictive but Not Plannable: RC-aux for Latent World Models
- stable-worldmodel: A Platform for Reproducible World Modeling Research and Evaluation
- LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
- Transformers are Sample-Efficient World Models
- RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
- DINOv2: Learning Robust Visual Features without Supervision
- Foundation Policies with Hilbert Representations
- DeepMind Control Suite
- AdaJEPA: An Adaptive Latent World Model
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