activity
20212023
most citedBuilding Krylov complexity from circuit complexity

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph20233 cited

Building Krylov complexity from circuit complexity

Chenwei Lv, Ren Zhang, Qi Zhou

Krylov complexity has emerged as a new probe of operator growth in a wide range of non-equilibrium quantum dynamics. However, a fundamental issue remains in such studies: the defin…

cs.LG20231 cited

Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions

Qiyuan Liu, Qi Zhou, Rui Yang +1

Recent work has shown that representation learning plays a critical role in sample-efficient reinforcement learning (RL) from pixels. Unfortunately, in real-world scenarios, repres…

cs.LG2023

Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution

Jie Wang, Rui Yang, Zijie Geng +7

Generalization in partially observed markov decision processes (POMDPs) is critical for successful applications of visual reinforcement learning (VRL) in real scenarios. A widely u…

cs.CY20221 cited

Long-term variation of population exposure to PM2.5 in Eastern China: A perspective from SDG 11.6.2

Yuheng Zhang, Qi Zhou, Ke Chang

Air pollution (e.g., PM2.5) has a negative effect on human health. Recently, the population-weighted annual mean PM2.5 concentration (PWAM) has been selected as an indicator 11.6.2…

cs.LG2021

Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic

Zhihai Wang, Jie Wang, Qi Zhou +2

Model-based reinforcement learning algorithms, which aim to learn a model of the environment to make decisions, are more sample efficient than their model-free counterparts. The sa…