Observer-based H∞ fuzzy control for nonlinear stochastic systems with multiplicative noise and successive packet dropouts. - Ming Gao 006; Li Sheng 002; Yurong Liu; Zhengmao Zhu (Neurocomputing, 2016)

Data-Driven Superheating Control of Organic Rankine Cycle Processes. - Jianhua Zhang 007; Xiao Tian; Zhengmao Zhu; Mifeng Ren (Complex., 2018)

Robust H2/H∞ control for a class of time-varying nonlinear stochastic systems with state- and control-dependent noises. - Ming Gao 006; Zhengmao Zhu; Yichun Niu (Int. J. Syst. Sci., 2020)

Invariant Action Effect Model for Reinforcement Learning. - Zheng-Mao Zhu; Shengyi Jiang; Yu-Ren Liu; Yang Yu 001; Kun Zhang 001 (AAAI, 2022)

Offline Reinforcement Learning with Causal Structured World Models. - Zheng-Mao Zhu; Xiong-Hui Chen; Hong-Long Tian; Kun Zhang 001; Yang Yu 001 (CoRR, 2022)

Adversarial Counterfactual Environment Model Learning. - Xiong-Hui Chen; Yang Yu 001; Zhengmao Zhu; Zhihua Yu; Zhenjun Chen; Chenghe Wang; Yinan Wu; Rong-Jun Qin; Hongqiu Wu; Ruijin Ding; Fangsheng Huang (NeurIPS, 2023)

Learning World Models with Identifiable Factorization. - Yuren Liu; Biwei Huang; Zhengmao Zhu; Hong-Long Tian; Mingming Gong; Yang Yu 001; Kun Zhang 001 (NeurIPS, 2023)

Beware of Instantaneous Dependence in Reinforcement Learning. - Zheng-Mao Zhu; Yu-Ren Liu; Hong-Long Tian; Yang Yu 001; Kun Zhang 001 (CoRR, 2023)

Learning World Models with Identifiable Factorization. - Yu-Ren Liu; Biwei Huang; Zheng-Mao Zhu; Hong-Long Tian; Mingming Gong; Yang Yu 001; Kun Zhang 001 (CoRR, 2023)

On the Identification of Temporally Causal Representation with Instantaneous Dependence. - Zijian Li 001; Yifan Shen 004; Kaitao Zheng; Ruichu Cai; Xiangchen Song; Mingming Gong; Zhifeng Hao; Zhengmao Zhu; Guangyi Chen 002; Kun Zhang 001 (CoRR, 2024)

Offline model-based reinforcement learning with causal structured world models. - Zhengmao Zhu; Hong-Long Tian; Xionghui Chen; Kun Zhang 001; Yang Yu 001 (Frontiers Comput. Sci., 2025)