Delete actor_gradients.m

actor_gradients.m

-function gradients = actor_gradients(network, input_data,reward)
-    lambda = 0.99;    
-    predictions = predict(network, input_data);
-    target_Q_values = reshape(reward,[],size(predictions,1));
-    loss = lambda*crossentropy(dlarray(target_Q_values,'BC'),predictions);
-    loss = real(sum(loss));
-    gradients = dlgradient(-loss, network.Learnables);
-end
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