48 citations · 58 across the 16 of their papers we have counts for
12 papers · 1 filter
Prompt-based Ingredient-Oriented All-in-One Image Restoration
Hu Gao, Depeng Dang
Image restoration aims to recover the high-quality images from their degraded observations. Since most existing methods have been dedicated into single degradation removal, they ma…
Switchable polarization manipulation, optical logical gates and conveyor belt based on U-shaped $\ce{VO2}$ nanoholes
Xiao-Yu Ouyang, Jing Yang
Based on U-shaped plasmonic nanoholes in an $\ce{Au-VO2-Au}$ film, we propose to achieve several switchable functions at the telecom wavelength by transition from the $\ce{VO2}$ se…
Provably Efficient Algorithm for Nonstationary Low-Rank MDPs
Yuan Cheng, Jing Yang, Yingbin Liang
Reinforcement learning (RL) under changing environment models many real-world applications via nonstationary Markov Decision Processes (MDPs), and hence gains considerable interest…
Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games
Songtao Feng, Ming Yin, Yu-Xiang Wang +2
The problem of two-player zero-sum Markov games has recently attracted increasing interests in theoretical studies of multi-agent reinforcement learning (RL). In particular, for fi…
TimePool: Visually Answer "Which and When" Questions On Univariate Time Series
Tinghao Feng, Yueqi Hu, Jing Yang +4
When exploring time series datasets, analysts often pose "which and when" questions. For example, with world life expectancy data over one hundred years, they may inquire about the…
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations
Ruiquan Huang, Yingbin Liang, Jing Yang
The general sequential decision-making problem, which includes Markov decision processes (MDPs) and partially observable MDPs (POMDPs) as special cases, aims at maximizing a cumula…