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Reinforcement learning for adaptive cruise control

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Hi,
I tried with the tutorial of applying DDPG method to adaptive cruise control(ACC) by https://www.mathworks.com/help/reinforcement-learning/ug/train-ddpg-agent-for-adaptive-cruise-control.html.
It seems working but when I check the pretrained model or after trainning my own model, the weights and bias in actorNetwork and criticNetwork are null, shown as follows:
How can I get the parameters? I am really confused.
Thanks,
Yixuan

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Accepted Answer

Emmanouil Tzorakoleftherakis
Hello,
Try the following
load('SimulinkACCDDPG.mat','agent')
actor = getActor(agent);
weights = getLearnableParameterValues(actor);

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