Something wrong when I try to use Reinforcement Learning Toolbox to create a environment object for the Simulink model;
First I used the following syntax to load ActionObj and ObservationObj into the workspace
open_system('rlSimplePendulumModel')
env = rlPredefinedEnv('SimplePendulumModel-Discrete');
obsInfo = getObservationInfo(env);
actInfo = getActionInfo(env);
Then I creat a DQN agent just using the syntax in the help documents of Reinforcement Learning Toolbox, then delete the object env in workshape, saved rlSimplePendulumModel.slx to current folder;
I really want to know how to create a environment object for the Simulink model finally when I executived this syntax
env = rlSimulinkEnv(rlSimplePendulumModel,[rlSimplePendulumModel '/RL Agent'],obsInfo,actInfo);
It returned a wrong statement saying : Error using horzcat. Dimensions of arrays being concatenated are not consistent.
I couldn't figure out what mistake I had made. Should I consider it as a bug caused by the Reinforcement Learning Toolbox?
I also used other predefined environment provided by the Toolbox and got the same mistake.
