- modify the "LearnRate" to change the rate at which the the model is converged.
- modify the "L2RegularizationFactor" to avoid overfitting.
Modify weights update rule of DDPG traning
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Currently, i have studied DDPG algorithm for my control project. I want to modify a bit in the weight update rule (gradient descent) to reduce the steady state error of system. How can i do this?
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Answers (1)
Shubham
on 22 Sep 2024
Hey Vu,
In order to make modifications in your gradient descent function, you can make changes in "rlOptimizerOptions" object as mentioned in the documentation for DDPG agent: https://www.mathworks.com/help/releases/R2023b/reinforcement-learning/ug/ddpg-agents.html
In order to make changes in the weight update rule,
Have a look at the "rlOptimizerOptions" for more details:
Happy coding!
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