Hi Ali,
The following documentation page shows an example with multiple agents that perform a collaborative task.: https://www.mathworks.com/help/releases/R2022a/reinforcement-learning/ug/train-2-agents-to-collaborate.html
Make sure that you declare the environment by calling rlSimulinkEnv with the multiple RL block paths and their associated observation and action information as shown below:
blks = ["model_name/Agent A (Red)", "model_name/Agent B (Green)", "model_name/Agent C (Blue)", "model_name/Agent D (Black)", "model_name/Agent E (Yellow)"];
obsInfos = {oinfo1, oinfo2, oinfo3, oinfo4, oinfo5};
actInfos = {ainfo1, ainfo2, ainfo3, ainfo4, ainfo5};
env = rlSimulinkEnv(mdl, blks, obsInfos, actInfos);
For more detailed information on creating custom Simulink Environments for Reinforcement Learning, you can refer to the following documentation page: https://www.mathworks.com/help/releases/R2022a/reinforcement-learning/ug/create-simulink-environments-for-reinforcement-learning.html
- Alan
