Assistance Required for running Parallel Computing in RL Designer Toolbox in MATLAB

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Manikanta
Manikanta 2024-7-31
回答： Kautuk Raj 2024-8-14
When attempting to enable parallel computation, I receive the following error message:
"Unable to open the requested feature. Check your internet connection and proxy settings in MATLAB Web preferences and then try starting the feature again. Detailed information: Error code: -108 Error message: ERR_ADDRESS_INVALID."
I have checked my internet connection and proxy settings as suggested but the issue persists. I have attached a screenshot of the error message for your reference.
Additionally, I am seeking guidance on the proper configuration of the files to be added in parallel computation toolbox, mySetup and myCleanup functions required for parallel computing. I have included a sample of my current mySetup and myCleanup functions below for your review:
matlab
Copy code
function mySetup()
load('RL_input_data.mat', 'RL_input_data');
% Define and check the script file to run
scriptFile = 'main.mlx';
% Run the script file
run(scriptFile);
end
function myCleanup()
% Save workspace or final state
% save('workerLastState.mat');
% Clean up global variables or close files
% clear global sharedData
% Additional cleanup tasks
end
I would appreciate any recommendations or examples of mySetup and myCleanup functions that would be more suitable for my scenario.
Please find attached the images of my MATLAB configuration settings and the error message for your reference.
Thank you for your support.
Best regards,
Manikanta Polepally

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回答（1 个）

Kautuk Raj
Kautuk Raj 2024-8-14
I see that you are encountering an error when attempting to enable parallel computation in the Reinforcement Learning Toolbox in MATLAB, which suggests checking your internet connection and proxy settings. Despite verifying these settings, the issue persists.
I suspect you might be trying to carry out parallel training with LSTM-based models and multi-agent environments, which is not supported in the Reinforcement Learning Toolbox. More about this can be found at this MATLAB Answers post: https://www.mathworks.com/matlabcentral/answers/894942-reinforcement-learning-with-parallel-computing
I trust this explanation will greatly assist you in addressing your query.

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