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Xiangyu Jiang

2 papers indexed

arxivcs.LGcs.AI2026-07-23

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning

Chaofan Pan, Lingfei Ren, Xiangyu Jiang, Yanhua Li, Xuemei Cao, Xiangkun Wang, et al.

Offline Reinforcement Learning (RL) agents are trained on fixed behavioral trajectories, which makes trajectory-level deletion important when selected data must be removed after training. Evaluating such deletion is difficult because a lower membership score can reflect trajector…

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arxivhep-latcs.AIhep-ph2026-07-16

LQCDMaster: Agentic Scientific Computing for Lattice Quantum Chromodynamics Research

Haofei Gao, Tingjia Miao, Wenkai Jin, Muhua Zhang, Hanzhang Wang, Jie Ran, et al.

Lattice quantum chromodynamics (LQCD) provides a first-principles framework for computing hadronic observables, but its practical use remains limited by the substantial expertise required to turn research motivation into reliable computing workflows. Here we present \textsc{LQCDM…

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