22 citations · 84 across the 31 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2023
Variance-aware robust reinforcement learning with linear function approximation under heavy-tailed rewards
Xiang Li, Qiang Sun
This paper presents two algorithms, AdaOFUL and VARA, for online sequential decision-making in the presence of heavy-tailed rewards with only finite variances. For linear stochasti…
cs.LG2023★ 1 cited
Quadratic Matrix Factorization with Applications to Manifold Learning
Zheng Zhai, Hengchao Chen, Qiang Sun
Matrix factorization is a popular framework for modeling low-rank data matrices. Motivated by manifold learning problems, this paper proposes a quadratic matrix factorization (QMF)…