DDPG Agent OU noise options to favour exploration

8 次查看（过去 30 天）
Abd Al-Rahman Al-Remal
编辑： Abd Al-Rahman Al-Remal 2021-7-22
Hi there,
I have seem similar posts here however I haven't found one that explains how to actually tune the OU noise parameters to favour exploration - currently my agent is stuck on the same reward value from the beginning and does not change/train/learn.
Can anyone advise on how to tune the OU noise parameters within the code to favour exploration? Currently mine are:
agentOpts.NoiseOptions.StandardDeviation = 0.3;
agentOpts.NoiseOptions.StandardDeviationDecayRate = 1e-5;
agentOpts.NoiseOptions.MeanAttractionConstant = 2e-3;
This worked for a previous similar model I made however I understand that the parameter smust be modified per model however I don't know how and literature all looks very dense and doesn't give a clear answer.
Thanks in advance!
Abd

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息

标签

产品


版本

R2021a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by