most citedDigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

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cs.LG2024★ 2 cited

DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Hao Bai, Yifei Zhou, Mert Cemri +4

Training corpuses for vision language models (VLMs) typically lack sufficient amounts of decision-centric data. This renders off-the-shelf VLMs sub-optimal for decision-making task…

cs.LG2023

White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?

Yaodong Yu, Sam Buchanan, Druv Pai +7

In this paper, we contend that a natural objective of representation learning is to compress and transform the distribution of the data, say sets of tokens, towards a low-dimension…