Variationally and Intrinsically motivated reinforcement learning for decentralized traffic signal control. - Liwen Zhu 003; Peixi Peng; Zongqing Lu 002; Xiangqian Wang 001; Yonghong Tian 001 (CoRR, 2021)

Multi-Agent Sequential Decision-Making via Communication. - Ziluo Ding; Kefan Su; Weixin Hong; Liwen Zhu 003; Tiejun Huang 001; Zongqing Lu 002 (CoRR, 2022)

MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control. - Liwen Zhu 003; Peixi Peng; Zongqing Lu 002; Yonghong Tian 001 (IEEE Trans. Knowl. Data Eng., 2023)

Multi-Agent Coordination via Multi-Level Communication. - Gang Ding; Zeyuan Liu; Zhirui Fang; Kefan Su; Liwen Zhu 003; Zongqing Lu 002 (NeurIPS, 2024)

MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control. - Liwen Zhu 003; Peixi Peng; Zongqing Lu 002; Yonghong Tian 001 (CoRR, 2024)

An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing. - Hang Dong 004; Liwen Zhu 003; Zhao Shan; Bo Qiao 001; Fangkai Yang; Si Qin; Chuan Luo 002; Qingwei Lin; Yuwen Yang; Gurpreet Virdi; Saravan Rajmohan; Dongmei Zhang 001; et al. (CoRR, 2024)