crossrefRobotics2025-05-31Cited by 2
Guided Reinforcement Learning with Twin Delayed Deep Deterministic Policy Gradient for a Rotary Flexible-Link System
Carlos Saldaña Enderica, José Ramon Llata, Carlos Torre-Ferrero
This study proposes a robust methodology for vibration suppression and trajectory tracking in rotary flexible-link systems by leveraging guided reinforcement learning (GRL). The approach integrates the twin delayed deep deterministic policy gradient (TD3) algorithm with a linear…