How to implement multi-agent RL training with custom MATLAB environment function?
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laha_M
le 20 Nov 2020
Modifié(e) : Emmanouil Tzorakoleftherakis
le 12 Août 2025
Hello everyone,
I have implemented one custom RL environment with MATLAB template environment class. I want to introduce multi-agents to the environment. I find all three examples provided for multi-agent RL are based on Simulink. My question is if it is at all possible to do the same with a MATLAB function? Or do I need to implement my custom RL environment in simulink to work with multi-agent RL?
Thanks.
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Emmanouil Tzorakoleftherakis
le 22 Nov 2020
Modifié(e) : Emmanouil Tzorakoleftherakis
le 12 Août 2025
Hello,
Currently multi-agent training is only supported in Simulink. If you have an environment created in MATLAB you could copy and paste the core parts like the reward and step function into a MATLAB Fcn block in Simulink as a workaround.
Edit:
5 commentaires
Maha Mosalam
le 21 Sep 2022
yes please share the latest update in this is a custom Fn to multi agent availble or any one got a solutions for that
Arman Ali
le 27 Sep 2022
I am trying using single agent with multiple actions where each action represents individual agent output, I have also compared it with multiagent system and it seems like both results are similar. The benefit of using single agent with multiple space/action combination is that it make the system fast using simulink. I don't know if it is a better approach but somehow it's working and I will be using it until multiagent is available in Matlab, because simulink version of multiagent is too slow.
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Arman Ali
le 14 Juil 2022
anyone can guide on this further?
1 commentaire
Maha Mosalam
le 21 Sep 2022
yes please share the latest update in this is a custom Fn to multi agent availble or any one got a solutions for that
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