load multiple trained reinforcement agents into MATLAB workspace

I have trained a DDPQ reinforcement learning agent and saved all agents with a reward over a set critieria.

These have all been saved into the same file directory autonomously with the name "AgentXXXX" with XXXX being the training iteration (note these are not necassarily sequential).

I am looking to assess them all over 10 randomly initiated tests to identify the top 5% for further testing.

The question I have is how to import all the agents to the matlab workspace with unique names as to test them all in one for loop so I do not have to manually load each agent.

there are around 2000 saved agents.

Answer 1

[Anh Tran]

It is not neccessary to load all 2000 agents into MATLAB (consume memory and tricky to assign unique name) to evaluate their performance. Instead, I believe a more reasonable approach would be load an agent, run 10 tests, log results and repeat

% get a list of all mat file in the folder, assuming only agent are saved in the folder as mat file
listing = dir('*.mat');
for ct = 1:numel(listing)
    load(listing(ct).name)
    % run test on agent
    % log result
end
% combine result from each agent
% analyze

https://www.mathworks.com/matlabcentral/answers/304528-tutorial-why-variables-should-not-be-named-dynamically-eval

[Alex Grimshaw]

Thanks for the answer.

This is almost exactly what I have ended up implementing and performing iteratively and worked really well.