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How do I pass an additional variable out of a custom loss function during the gradient call in reinforcement learning neural network training?
Found an answer, not sure how good it is but it works. I can pass in an object with the super class "handle" classdef etaTrack...
How do I pass an additional variable out of a custom loss function during the gradient call in reinforcement learning neural network training?
Found an answer, not sure how good it is but it works. I can pass in an object with the super class "handle" classdef etaTrack...
mehr als 4 Jahre vor | 0
| akzeptiert
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How do I pass an additional variable out of a custom loss function during the gradient call in reinforcement learning neural network training?
I am writing my own custom RL agent with a custom loss function. My loss is the sum of two values, a value that is a function ...
mehr als 4 Jahre vor | 1 Antwort | 1
