SAC algorithm implementation using the Reinforcement Learning Toolbox of MATLAB Training and testing procedures Methodology to postprocess the output of the simulation The code is designed to be ...

R2019a introduces Reinforcement Learning Toolbox, further enhancing the MATLAB workflow for AI. The new toolbox facilitates a type of machine learning that trains an “agent” through repeated ...

This paper investigates reinforcement learning (RL) as a practical framework for achieving optimal adaptive control across several simple dynamical system models. All experiments were conducted using ...