JEPA World Models Enhanced with Value-Guided Action Planning

research#planning🔬 Research|Analyzed: Jan 6, 2026 07:21•
Published: Jan 6, 2026 05:00
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1 min read
•ArXiv ML

Analysis

This paper addresses a critical limitation of JEPA models in action planning by incorporating value functions into the representation space. The proposed method of shaping the representation space with a distance metric approximating the negative goal-conditioned value function is a novel approach. The practical method for enforcing this constraint during training and the demonstrated performance improvements are significant contributions.
Reference / Citation
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"We propose an approach to enhance planning with JEPA world models by shaping their representation space so that the negative goal-conditioned value function for a reaching cost in a given environment is approximated by a distance (or quasi-distance) between state embeddings."
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ArXiv MLJan 6, 2026 05:00
* Cited for critical analysis under Article 32.
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Source: ArXiv ML