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20242026
most citedCautious Optimizers: Improving Training with One Line of Code

3 citations · 3 across the 4 of their papers we have counts for

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cs.RO2026

RoboSSM: Scalable In-context Imitation Learning via State-Space Models

Youngju Yoo, Jiaheng Hu, Yifeng Zhu +4

In-context imitation learning (ICIL) enables robots to learn tasks from prompts consisting of just a handful of demonstrations. By eliminating the need for parameter updates at dep…