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Custom environment in Deep reinforcement learning

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Bha Pr
Bha Pr le 1 Avr 2020
Commenté : SULAKSHNA DEVI le 13 Mai 2020
I am currently trying to buid to a custom environment for the implementation of deep reinforcement learning. My considered environment has 4 states low, med, high, severe represented by 1,2,3,4 respectively and the actions to be taken are 1,2,3 and rewards are decided on the basis of context like temperature, pressure,humidity which varies with time. So how i can define my reward that changes with time in mystepfunction?

Réponses (1)

Ari Biswas
Ari Biswas le 20 Avr 2020
One way to solve this is by introducing a property to keep track of elapsed time in your custom MATLAB environment. You can use this property to compute rewards and increment this as needed in the step function.
  1 commentaire
SULAKSHNA DEVI
SULAKSHNA DEVI le 13 Mai 2020
The property here refers to function. Can you please provide explanation on this

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