How to interpret the learnableParameters (Reinforcement Learning Toolbox)?

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.

Answer 1

[black_cat]

The values in these tables refer to the weights for the critic network.

Answer 2

[Shadaab Siddiqie]

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.

[black_cat]

No. I figured it out: Those values in these 6 tables refer to the weights in my dnn. I appreciate your effort though.

[Shadaab Siddiqie]

Great