Author

Xiao-Jie Wang

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Preprint Oct 2026

Sample-Efficient Reinforcement Learning for Policy Improvement via Flow-Reversed Action Anchors

Generalist robot policies offer strong behavioral priors, but achieving deployment-level reliability and throughput remains difficult. Reinforcement learning (RL) can improve these policies, yet its effectiveness is constrained by the cost of online interaction. Existing methods adapt frozen flow-matching policies by t...

Carl Qi, Wei-Jun Dong, Xiao-Jie Wang et al. · 0 citations

Preprint Sep 2026

A Unified Framework for Wasserstein Convergence of ULMC Methods beyond Log-Concavity: Old and New

As a fundamental task across computational statistics, scientific computing and machine learning, sampling from high-dimensional probability distributions has received increasing attention in recent years. Numerous sampling algorithms have been proposed, among which underdamped Langevin Monte Carlo (ULMC) methods based...

Wanjie Lyu, Xiao-Jie Wang, Bin Yang · 0 citations