Reinforcement Learning: competitive or collaborative options in MARL Matlab

5 Ansichten (letzte 30 Tage)
ali farid
ali farid am 12 Jun. 2024
Bearbeitet: Shivani am 13 Jun. 2024
Hello,
I am trying to set up three explorer agents to explore the unknown area in collobrative or competive manners. I am wondering how I can set up this in Matlab, is there any options?

Antworten (1)

Shivani
Shivani am 13 Jun. 2024
Bearbeitet: Shivani am 13 Jun. 2024
Hello,
You can set up three explorer agents to collaboratively perform a particular task in Simulink by using the Reinforcement Learning Toolbox.
Kindly refer to this example, which elaborates on training multiple agents to perform a collaborative task, for more details on implementation: https://www.mathworks.com/help/reinforcement-learning/ug/train-2-agents-to-collaborate.html
It is important to mention here that multi-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. You can look at the following MATLAB answer thred for more details: https://www.mathworks.com/matlabcentral/answers/654148-how-to-implement-multi-agent-rl-training-with-custom-matlab-environment-function
Hope this helps!

Kategorien

Mehr zu Introduction to Installation and Licensing finden Sie in Help Center und File Exchange

Tags

Produkte


Version

R2023b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by