2 papers
cs.CV2024
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
Shenghua Wan, Ziyuan Chen, Le Gan +2
Model-based offline reinforcement Learning (RL) is a promising approach that leverages existing data effectively in many real-world applications, especially those involving high-di…
quant-ph2023
Measurement of non-Abelian gauge fields using multi-loop amplification
Qing-Xian Lv, Hong-Zhi Liu, Yan-Xiong Du +7
Non-Abelian gauge field (NAGF) plays a central role in understanding the geometrical and topological phenomena in physics. Here we experimentally induce a NAGF in the degenerate ei…