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Fernando Palafox

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#artificial intelligence Preprint Sep 2026

Amortized Low-Rank Adaptation for Model-Based Reinforcement Learning

CLAW (Context-conditioned Low-rank Adaptation of World models), which addresses the problem of adapting a world model to an unknown test-time environment, drawn from a known environment family, using only a few episodes of interaction by using a hypernetwork to generate low-rank adapters at test time.

Fernando Palafox, David Fridovich-Keil · 0 citations