Zhou, Kuangqi

7 publications

AISTATS 2023 Online Learning for Non-Monotone DR-Submodular Maximization: From Full Information to Bandit Feedback Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang

ICML 2023 Reachability-Aware Laplacian Representation in Reinforcement Learning Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang

ICLR 2023 Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan

LoG 2022 Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang

CVPR 2022 Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H.S. Torr, Song Bai, Vincent Y. F. Tan

ICML 2022 The Geometry of Robust Value Functions Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor

ICML 2021 Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng