Transition-informed reinforcement learning for large-scale Stackelberg mean-field games.

by LI, Pengdeng, YU, Runsheng, WANG, Xinrun, AN, Bo
Published 2024

DO-GAN: A double oracle framework for generative adversarial networks

by AUNG, Aye Phyu Phye, WANG, Xinrun, YU, Runsheng, AN, Bo, JAYAVELU, Senthilnath, LI, Xiaoli
Published 2022

Learning expensive coordination: An event-based deep RL approach

by YU, Runsheng, WANG, Xinrun, WANG, Rundong, ZHANG, Youzhi, AN, Bo, SHI, Zhen Yu, LAI, Hanjiang
Published 2020

RMIX: Learning risk-sensitive policies for cooperative reinforcement learning agents

by QIU, Wei, WANG, Xinrun, YU, Runsheng, HE, Xu, WANG, Rundong, AN, Bo, OBRAZTSOVA, Svetlana, RABINOVICH, Zinovi
Published 2021

Learning to collaborate in multi-module recommendation via multi-agent reinforcement learning without communication

by HE, Xu, AN Bo, LI, Yanghua, CHEN, Haikai, WANG, Rundong, WANG, Xinrun, YU, Runsheng, LI, Xin, WANG, Zhirong
Published 2020