Hi,
In MATLAB, when you are training a reinforcement learning agent using functions like `train`, the variable in the workspace that represents the agent is updated with the training progress. After the training process finishes, the agent variable in the workspace holds the trained agent, even if it hasn't met the `saveAgentCriteria`.
To explicitly save the trained agent at the end of the training or at any point during the training, you can use the `save` function in MATLAB. Here's an example of how you might do this:
[trainedAgent, trainingStats] = train(agent, env, trainingOptions);
% Save the trained agent to a MAT-file
save('trainedAgent.mat', 'trainedAgent');
For more information on training options and saving agents, you can refer to the following MathWorks documentation:
I hope this resolves your issue.
