How to interpret the learnableParameters (Reinforcement Learning Toolbox)?

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I was wondering how to interpret the tables that one is receiving when using this line:
params = getLearnableParameters (critic);
Why are there 6 tables after q learning for example? I expected one.

Akzeptierte Antwort

black_cat
black_cat am 15 Jun. 2021
The values in these tables refer to the weights for the critic network.

Weitere Antworten (1)

Shadaab Siddiqie
Shadaab Siddiqie am 15 Jun. 2021
From my understanding you want to know why are there 6 values returned as the result of the getLearnableParameters function. I assume that you are running example in getLearnableParameters:
load('DoubleIntegDDPG.mat','agent')
critic = getCritic(agent);
params = getLearnableParameters(critic);
In this case since DoubleIntegDDPG.mat has 6 learnable parameters from the reinforcement learning policy (critic in your case) getLearnableParameters returns 6 values.
  2 Kommentare
black_cat
black_cat am 15 Jun. 2021
No. I figured it out: Those values in these 6 tables refer to the weights in my dnn. I appreciate your effort though.

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