MATLAB: QTable reset when using train

Question

Hi,

I am using the Matlab Reinforcement Learning toolbox to train an rlQAgent.

The issue that I am facing is that the corresponding QTable, i.e., the output of the command getLearnableParameters(getCritic(qAgent)), is reset each time the train command is used.

Is it possible to avoid this reset so to train further a previously trained agent?

Thank you

Corrado

Answer 1

If you stop training, you should be able to continue from where you left off. I called 'train' on the basic grid world example a couple of times in a row and the output of 'getLearnableParameters(getCritic(qAgent))' was different. You can always save the trained agent and reload it as well to make sure you don't accidentally delete it.

Update:

There is a regularization term added to the loss which causes the other entries to change slightly. To avoid this, you can type:

qRepresentation.Options.L2RegularizationFactor=0;