DDPG - Noise Model - sample time step - definition
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Niklas Reinisch
el 2 de Ag. de 2019
Comentada: Emmanouil Tzorakoleftherakis
el 5 de Ag. de 2019
Hello!
At the moment i am tuning the Parameters of my DDPG Algorithm and i don´t fully understand the Updating process of the Ornstein-Uhlenbeck Noise Model.
The Matlab Documentation describes the Process of Updating the Noise Model of a DDPG-algorithm, consisting of a Formula, which is used in every "sample time step".
(https://www.mathworks.com/help/reinforcement-learning/ref/rlddpgagentoptions.html Chapter: Input Arguments)
But how is the "sample time step" defined? Does this correlate with the episode or step count of the RL trainingprocess?
Thanks
Niklas
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Emmanouil Tzorakoleftherakis
el 2 de Ag. de 2019
Hi Niklas,
This post should be helpful. By "sample time step" the documentation refers to the "step count of the RL trainingprocess", i.e. each episode consists of a number of time steps, and noise is applied to the selected action at the begining of each time step. See this link for a description of DDPG (and specifically step #1). The time step value can be specified in the agent options here.
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Emmanouil Tzorakoleftherakis
el 5 de Ag. de 2019
Correct. This is why you want to keep the decay rate small or zero if you want to promote exploration.
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