using Q learning agent for continuous observation space

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Nozhan Ghoreishi
Nozhan Ghoreishi on 15 Jun 2020
Answered: Stephan on 16 Jun 2020
I have a reinforcement learning problem where the observation is the error of closed loop feedback and it is continuous, and discrete action space.
I want to use Q learning as its document tells It can handle both discrete/continuous observations.
but Im a little bit confused about making critic using rlQValueRepresentation which its syntax mostly uses either a table or deep neural network,
and they are inappropriate for my work, as I didnt find any example like this in Mathworks website, Is there anyone who can help me on this?

Answers (1)

Stephan on 16 Jun 2020

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