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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?

Accepted Answer

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.
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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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