Need help with Model based RL
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Hi ,
I have a simulation file of a soft robot in written in C , I want to use the simulation file as a model to train a DDPG agent to achive the desired task
which for now is reaching a desired point in the 3d space. I have no idea about how to use it.
Any help would highly be appreciated.
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Emmanouil Tzorakoleftherakis
2021-5-18
Hello,
If you want to use the existing C code to train with Reinforcement Learning Toolbox, I would use the C caller block to bring the C code into Simulink. You can then follow the examples in RL Toolbox.
Just a note, just because you are using a model, this is not model-based RL, DDPG is model-free.
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