Papers4

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#online reinforcement learning

$π$-StepNFT: Wider Space Needs Finer Steps in Online RL for Flow-based VLAs

Intermediate

Siting Wang, Xiaofeng Wang et al.Mar 2arXiv

Robots that read images and instructions (VLAs) get stuck following a narrow, fragile path after normal training.

#vision-language-action#flow matching#stochastic differential equations

Not triaged yet

Enhancing Spatial Understanding in Image Generation via Reward Modeling

Intermediate

Zhenyu Tang, Chaoran Feng et al.Feb 27arXiv

This paper teaches image generators to place objects in the right spots by building a special teacher called a reward model focused on spatial relationships.

#spatial reasoning#reward modeling#preference learning

Not triaged yet

Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization

Intermediate

Zeyuan Liu, Jeonghye Kim et al.Feb 26arXiv

This paper teaches a language-model agent to explore smarter by combining two ways of learning (on-policy and off-policy) with a simple, self-written memory.

#EMPO#memory-augmented agents#on-policy learning

Not triaged yet

MAI-UI Technical Report: Real-World Centric Foundation GUI Agents

Intermediate

Hanzhang Zhou, Xu Zhang et al.Dec 26arXiv

MAI-UI is a family of AI agents that can see, understand, and control phone and computer screens using plain language.

#GUI agent#GUI grounding#mobile navigation

Not triaged yet