How to see the training process of neural network in DQN or DDPG?

Hello.

I used the reinforcement learning Toolbox to train the DQN and DDPG.In both cases, I would like to know how to check the changes of training parameters of neural network during training.For example,When using the deep learning toolbox for training DL, some parameter change information of each neural network can be seen in the following figure.Then, we can adjust the parameters of the neural network through the information to make the effect of the neural network better.

But when training DQN and DDPG,we only see the following figure. I do not know how to adjust my neural network to improve the effect of DQN or DDPG through this information. How can we see the parameter change(as shown above figure) of neural network in DQN or DDPG ? What problems can be observed during DQN training with the Episoid reward and others?