Is it possible to implement DQN when creating AGV.simulation in Plaxim, and if so, is there any way to help?
Hey @aa, have you reviewed the documentation on Reinforcement Learning Training? It will go over the basics of RL in FlexSim. The documentation goes over an example with the OpenAI Gym toolkit and Stable-Baseline3 implementations, but as the page says:
Reinforcement learning algorithms can be written in any programming language, and you can communicate with FlexSim using whatever language and tools you want.
I personally don't know of anyone who has implemented DQN in FlexSim yet, let alone with an AGV network; however, you may be able to accomplish this feat with the Python Connector.
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