reinforcement learning toolbox ---fail to train stores saved agents in a MAT-file in the folder

Question

Matthew Worker 2020-5-12

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https://ww2.mathworks.cn/matlabcentral/answers/524788-reinforcement-learning-toolbox-fail-to-train-stores-saved-agents-in-a-mat-file-in-the-folder

评论： Wenkai Wu 2020-8-27

%% Train Agent

doTraining = false;

if doTraining

% Train the agent

trainingStats = train(agent,env,trainOpts);

else

% Load pretrained agent for the example

load('Agent512.mat','agent')

end

warning: Variable 'agent' not found

but the demo 'rlQuadrupedAgent.mat' is ok, why? how it works correctly and allow me to test candidate agents generated during a long-running training process?

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Answer 1

Mahesh Taparia 2020-5-15

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https://ww2.mathworks.cn/matlabcentral/answers/524788-reinforcement-learning-toolbox-fail-to-train-stores-saved-agents-in-a-mat-file-in-the-folder#answer_432579

在 MATLAB Online 中打开

Hi

There is in built agent file named rlQuadrupedAgent.mat in MATLAB directory. But there is no file named as Agent512.mat. You have to save any model file in your current working directory with that name. So the below command will work:

load('rlQuadrupedAgent.mat','agent')

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Wenkai Wu 2020-8-27

Hi, i met the same problem, the solution still can't work in my case. Because the saved agent 'Agent512.mat' is created by the command 'SaveAgentCriteria', it is saved in the folder 'savedAgents' by default, then i followed your steps: copy the agent into the current folder and rename it as 'rlQuadrupedAgent.mat'. But that warnings still came up and can't work to see the trained reasult.

Really appreciate any ideas to solve this staff.

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