Adviser-Actor-Critic: Eliminating Steady-State Error in Reinforcement Learning Control

Donghe Chen, Yubin Peng, Tengjie Zheng +3

High-precision control tasks present substantial challenges for reinforcement learning (RL) algorithms, frequently resulting in suboptimal performance attributed to network approxi…