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using Q learning agent for continuous observation space

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Nozhan Ghoreishi 2020-6-15

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https://ww2.mathworks.cn/matlabcentral/answers/548664-using-q-learning-agent-for-continuous-observation-space

回答： Stephan 2020-6-16

Hello,

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?

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Stephan 2020-6-16

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https://ww2.mathworks.cn/matlabcentral/answers/548664-using-q-learning-agent-for-continuous-observation-space#answer_451743

You also are allowed to write a custom critic function:

https://de.mathworks.com/help/reinforcement-learning/ref/rlqvaluerepresentation.html#mw_e269c528-2e43-4318-b3c1-dedae1321529

https://de.mathworks.com/help/reinforcement-learning/ref/rlqvaluerepresentation.html#mw_da601ea7-bc2c-4f1a-b3bc-05e142b4f764

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