Reinforcement learning toolbox multiple agents training

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Moein Sabounchi 2020-3-17

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https://ww2.mathworks.cn/matlabcentral/answers/511359-reinforcement-learning-toolbox-multiple-agents-training

评论： Maha Mosalam 2022-9-21

Since the RL toobox doesn't natively support MADDPG (currently), I tried to train multiple agents, each of which is working based on separate set of data from the same plant. I was wondering if it is possible to train multiple agents using the RL toolbox Simultaeaously based on different portions of data observed from the same plant?

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Answer 1

Emmanouil Tzorakoleftherakis 2020-9-29

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https://ww2.mathworks.cn/matlabcentral/answers/511359-reinforcement-learning-toolbox-multiple-agents-training#answer_502396

As of R2020b release, Reinforcement Learning Toolbox lets you train multiple agents simultaneously in Simulink. Please see following examples for reference:

Hope that helps

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Amin Moradi 2022-4-4

Is there a plan to let us use environements other than simulink models? My custom environement works fine in MATLAB but does not work in Simulink.

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Answer 2

Bhargavi Maganuru 2020-4-3

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https://ww2.mathworks.cn/matlabcentral/answers/511359-reinforcement-learning-toolbox-multiple-agents-training#answer_423741

I understand you are looking for a way to simulate a multi-agent Reinforcement Learning environment. Unfortunately, the Reinforcement Learning Toolbox currently does not support multi-agent scenario. You would need to write your custom environment and training algorithms for such scenario.

Due to large amounts of request on this feature, the development team is actively working on the multi-agent feature now and it will be available in a future release. I have linked your email address to their release plan, and you shall receive a notification automatically once there is an update regarding the progress.

If you decide to write your own environment and training algorithm, the following documentation would be a good place to start:

https://www.mathworks.com/help/reinforcement-learning/matlab-environments.html

https://www.mathworks.com/help/reinforcement-learning/training-and-validation.html