most citedBenefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective

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cs.RO2026

NoiseGate: Learning Per-Latent Timestep Schedules as Information Gating in World Action Models

Wen Huang, Haoran Sun, Yongjian Guo +8

World Action Models (WAMs) are an emerging family of policies that tie robot action generation to future-observation modeling. In this work, we focus on the joint video--action mod…