How to implement multi-agent RL training with custom MATLAB environment function?

9 次查看(过去 30 天)
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.

采纳的回答

Emmanouil Tzorakoleftherakis
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.
  5 个评论
Maha Mosalam
Maha Mosalam 2022-9-21
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
Arman Ali 2022-9-27
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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更多回答(1 个)

Arman Ali
Arman Ali 2022-7-14
anyone can guide on this further?

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