Jul 2026
Robust formation tracking of multi-agent systems via reinforcement learning-based hybrid impulsive control.
The Hierarchical Multi-agent Cooperative Reinforcement Learning (HMAC-RL) framework is introduced to optimally and adaptively refine both control parameters and impulsive moments and offers enhanced adaptability, faster corrective actions, and improved system robustness in uncertain and evolving environments.
Zhanlue Liang, Yanlin Gu, Yiwen Tao et al.
· Neural Networks · 0 citations