Author

Xu Chu

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#machine learning Feb 2026

Enhancing Affine Maximizer Auctions with Correlation-Aware Payment

This paper proposes Correlation-Aware AMA (CA-AMA), a novel framework that augments AMA with a new correlation-aware payment and formalizes finding optimal CA-AMA as a constraint optimization problem subject to the IR constraint.

Haoran Sun, Xuan-Zhi Xia, Xu Chu et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Feb 2026

RL-VLA$^3$: A Flexible and Asynchronous Reinforcement Learning Framework for VLA Training

RL-VLA is the first fully asynchronous RL training framework tailored specifically for the system-level challenges of VLA training, and achieves throughput improvements of up to 85.2\% over synchronous baselines while maintaining identical sample efficiency, with scalability validated from 8 to 256 GPUs.

Haoran Sun, Yong-Jian Guo, Zhong Guan et al. · 7 citations