T2-z: Test-Time Optimization of Environment Latents for Robotic World Models
T2-Z is introduced for test-time optimization of environment latents, which augments a robotic world model with a learnable environment latent to condition world predictions, and can efficiently infer environment latents from as little as a single test-time interaction trajectory.
Chen-Yuan Zhou, Yi-Ning Hong, Huang Huang et al.
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