Information-Theoretic Constraints for Continual Vision-Language-Action Alignment
When deployed in open-ended robotic environments, Vision--Language--Action (VLA) models need to continually acquire new skills, yet suffer from severe catastrophic forgetting. We observe that this degradation is related to the deterioration of cross-modal information structure, where dependencies among visual observations, language instructions, and actions progressively diffuse during continual adaptation. But existing continual learning methods fail to preserve such cross-modal information dep
Record details
Published: 6 March 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy · Environment
Retrieved: 14 July 2026
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ethics.ai (6 March 2026), “Information-Theoretic Constraints for Continual Vision-Language-Action Alignment,” evidence record 7596, https://ethics.ai/record/7596 (originally published by arXiv).
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