Abstract: Reinforcement Learning (RL) provides a framework in which agents can be trained, via trial and error, to solve complex decision-making problems. Learning with little supervision causes RL ...
Abstract: A reinforcement learning (RL) based approach is proposed for PID controller fine-tuning and parameter estimation for effective and accurate tracking of a helix trajectory considering ...