1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition
Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
We study reinforcement learning with linear function approximation, unknown transition, and adversarial losses in the bandit feedback setting. Specifically, we focus on linear mixt…
physics.flu-dyn2023
Direct numerical simulation of Taylor-Couette flow with vertical asymmetric rough walls
Fan Xu, Jinghong Su, Bin Lan +4
Direct numerical simulations are performed to explore the effects of rotating direction of the vertical asymmetric rough wall on the transport properties of Taylor-Couette (TC) flo…
cs.LG2023★ 1 cited
Revisiting Weighted Strategy for Non-stationary Parametric Bandits
Jing Wang, Peng Zhao, Zhi-Hua Zhou
Non-stationary parametric bandits have attracted much attention recently. There are three principled ways to deal with non-stationarity, including sliding-window, weighted, and res…