Near-Optimal Quantum Coreset Construction Algorithms for Clustering

no code implementations • 5 Jun 2023 • Yecheng Xue, Xiaoyu Chen, Tongyang Li, Shaofeng H. -C. Jiang

$k$-Clustering in $\mathbb{R}^d$ (e. g., $k$-median and $k$-means) is a fundamental machine learning problem.

Clustering

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret

no code implementations • 21 Feb 2023 • Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, LiWei Wang

While quantum reinforcement learning (RL) has attracted a surge of attention recently, its theoretical understanding is limited.

Efficient Exploration reinforcement-learning +1