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Is it possible apply Reinfocrement Learning to classify data?

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I am currently working on a project with Deep and Reinforcement Learning, that deals with the classification of simple datasets such as Fisheriris, Wine quality, traffic signs, etc. I was already familiarized with DL, so I have had no issues using its toolbox. In the case of RL, I am knew and I have basic knowledge, but as far as I understood RL is generally used for control applications, so I have not found yet a way to perform this task, and I want to know if it is possible and if it is worty to try it?

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Emmanouil Tzorakoleftherakis
Edited: Emmanouil Tzorakoleftherakis on 26 Apr 2021
If you already have a labeled dataset, supervised learning is the way to go. Reinforcement learning is more for cases where data is being generated on the fly from a simulated model/real system. RL can be applied in controls problems, as well as more general decision making problems such resource allocation, calibration, etc.
Emmanouil Tzorakoleftherakis
how would you define the reward signal then? you would need some groundtruth if you want to do classification with rl

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