How to interpret the learnableParameters (Reinforcement Learning Toolbox)?
1 visualizzazione (ultimi 30 giorni)
Mostra commenti meno recenti
black_cat
il 10 Giu 2021
Commentato: Shadaab Siddiqie
il 15 Giu 2021
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.
0 Commenti
Risposta accettata
Più risposte (1)
Shadaab Siddiqie
il 15 Giu 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.
Vedere anche
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!