Adaptive neuro-fuzzy PID controller based on twin delayed deep deterministic policy gradient algorithm. - Qian Shi 003; Hak-Keung Lam; Chengbin Xuan; Ming Chen 019 (Neurocomputing, 2020)

Navigation control of mobile robots using graph neural network and reinforcement learning with fuzzy reward. - Feng Zhang; Chengbin Xuan; Hak-Keung Lam; Shun-Hung Tsai (iFUZZY, 2022)

SEM: Safe exploration mask for q-learning. - Chengbin Xuan; Feng Zhang; Hak-Keung Lam (Eng. Appl. Artif. Intell., 2022)

Membership-Function-Dependent Control Design and Stability Analysis of Interval Type-2 Sampled-Data Fuzzy-Model-Based Control System. - Ming Chen 019; Hak-Keung Lam; Bo Xiao 002; Chengbin Xuan (IEEE Trans. Fuzzy Syst., 2022)

Constrained Proximal Policy Optimization. - Chengbin Xuan; Feng Zhang; Faliang Yin; Hak-Keung Lam (CoRR, 2023)

Optimization for Interval Type-2 Polynomial Fuzzy Systems: A Deep Reinforcement Learning Approach. - Bo Xiao 002; Hak-Keung Lam; Chengbin Xuan; Ziwei Wang 001; Eric M. Yeatman (IEEE Trans. Artif. Intell., 2023)

An obstacle avoidance-specific reinforcement learning method based on fuzzy attention mechanism and heterogeneous graph neural networks. - Feng Zhang; Chengbin Xuan; Hak-Keung Lam (Eng. Appl. Artif. Intell., 2024)

Integrated Fault-Tolerant Control Design With Sampled-Output Measurements for Interval Type-2 Takagi-Sugeno Fuzzy Systems. - Hongying Zhou; Hak-Keung Lam; Bo Xiao 002; Chengbin Xuan (IEEE Trans. Cybern., 2024)