IEEE

Optimizing Inner Force Control Loop for PMLSM Using Reinforcement Learning

Abstract: High-performance force control is essential for implementing robust impedance and position controllers in motors, robotic legs, and manipulators. However, enhancing performance through ...
IEEE

SA-MARL: Novel Self-Attention-Based Multi-Agent Reinforcement Learning With Stochastic Gradient Descent

Abstract: In the rapidly advancing Reinforcement Learning (RL) field, Multi-Agent Reinforcement Learning (MARL) has emerged as a key player in solving complex real-world challenges. A pivotal ...