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How to Train Multiple Reinforcement Learning Agents In Basic Grid World? (Multiple Agents)

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My problem is very similar to "Train Reinforcement Learning Agent in Basic Grid World", however I wish to expand this problem to a multi-robot (multiple agent) scenario with unique start and goal coordinates per agent, rather than just one agent. I have created a basic gridWorld environment with obstacles, in which I wish to train 2-10 robots to get to their goal points without collision. I have read a lot of the multi-agent examples provided with the tool box, however, they seem to differ from my specific problem and I can't quite put my finger on how to accomplish my problem utilizing those examples. Thank you for your time and consideration.

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Emmanouil Tzorakoleftherakis
Emmanouil Tzorakoleftherakis 2021 年 4 月 29 日
Training multiple agents simultaneously is currently only supported in Simulink. The predefined Grid World environments in Reinforcement Learning Toolbox are implemented in MATLAB so if you want to do multi-agent training, you would need to wrap the MATLAB environment in a MATLAB Function block in Simulink, and then follow the template/steps in the multi-agent examples you have been looking at.
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Emmanouil Tzorakoleftherakis
Emmanouil Tzorakoleftherakis 2021 年 4 月 30 日
The Q agent is unfortunately not supported yet for use within Reinforcement Learning Designer. You would have to set it up programmatically

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