Scaling layer usage for action output

Hello, I am using the tanhlayer as the output activation function for the action network while my action space is [0,10]. In this sense, I am referring to this answer by adding scaling layer.

However, I got saturated action value. I looked into the answer, shouldn't it be

scalingLayer('Scale',(actionInfo.UpperLimit-actionInfo.LowerLimit)/2,'Bias',(actionInfo.UpperLimit+actionInfo.LowerLimit)/2)

Thanks for your help.

Here is the code"

numActions = 2; 
actInfo = rlNumericSpec([numActions 1],'LowerLimit',0,'UpperLimit', 10); 

actorNetwork = [
    featureInputLayer(numObservations,'Normalization','none','Name','State')
    fullyConnectedLayer(32, 'Name','actorFC1')
    reluLayer('Name','relu1')
    fullyConnectedLayer(16, 'Name','actorFC2')
    reluLayer('Name','relu2')
    fullyConnectedLayer(numActions,'Name','Action')
    tanhLayer('Name','tanh3')
    scalingLayer('Scale',actInfo.UpperLimit-actInfo.LowerLimit,'Bias',(actInfo.UpperLimit-actInfo.LowerLimit)/2)
    ];
actordlNet = dlnetwork(actorNetwork);

actor = rlContinuousDeterministicActor(actordlNet,obsInfo,actInfo);

[Emmanouil Tzorakoleftherakis]

Can you post the code you are using to create the actor? Also, which agent are you using? At which value is the action saturated? Between [0 10] or something else?

[Yihao Wan]

Thanks for your reply. The code is attached. I think the scaling layer should be

 scalingLayer('Scale',actionInfo.UpperLimit-actionInfo.LowerLimit,'Bias',(actionInfo.UpperLimit-actionInfo.LowerLimit)/2)

[Yihao Wan]

@Emmanouil Tzorakoleftherakis

[Emmanouil Tzorakoleftherakis]

I corrected the answer, you are right, the scale factor should be divided by 2

[Yihao Wan]

Thanks a lot.@Emmanouil Tzorakoleftherakis