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Zachary Patterson

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#machine learning Preprint Sep 2026

Looped Actor: Depth-Recurrent Reasoning Models for Reinforcement Learning

Looped reasoning models repeatedly apply a shared set of parameters, enabling more computation without increasing the model size. These models also support input-dependent computation by dynamically deciding when to stop looping. Motivated by the recent success of looped transformers in language modeling and reasoning,...

T. Konstantin Rusch, T. Seyde, J. Boyer et al. · 0 citations
Jun 2026

Sequential Planning via Anchored Robotic Keypoints

We present Sequential Planning via Anchored Robotic Keypoints, SPARK, a training-free neurosymbolic manipulation system that reaches 43.7% on six LIBERO-PRO position \&task cells, more than doubling CaP-Agent0 and Vision-Language-Action (VLA) baselines. CaP-Agent0, a multi-turn code-generation agent, achieves 18.2% by...

Bryce Grant, Aryeh Rothenberg, Logan Senning et al. · 0 citations

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