Adaptive Reinforcement Learning for Fault-Tolerant Optimal Consensus Control of Nonlinear Canonical Multiagent Systems With Actuator Loss of Effectiveness. - Boyan Zhu; Liang Zhang 039; Ben Niu 003; Ning Zhao 002 (IEEE Syst. J., 2024)

Observer-based reinforcement learning for optimal fault-tolerant consensus control of nonlinear multi-agent systems via a dynamic event-triggered mechanism. - Boyan Zhu; Hongjing Liang; Ben Niu 003; Huanqing Wang 001; Ning Zhao 002; Xudong Zhao 001 (Inf. Sci., 2025)

Neural network-based adaptive reinforcement learning for optimized backstepping tracking control of nonlinear systems with input delay. - Boyan Zhu; Hamid Reza Karimi; Liang Zhang 039; Xudong Zhao 001 (Appl. Intell., 2025)

Scaling over Scaling: Exploring Test-Time Scaling Pareto in Large Reasoning Models. - Jian Wang 054; Boyan Zhu; Chak Tou Leong; Yongqi Li 001; Wenjie Li 002 (CoRR, 2025)