Are there examples of using reinforcement learning for multi label text classification?

Question

I have a labeled dataset and I am going to develop a classifier for a multilabel classification problem (ex: 5 labels). I have already developed BERT, and CNN, but I was wondering if I could use RL for text classification as well.

As I know, using RL we can use a smaller training dataset

I am looking for a python code for RL.

Answer 1

Reinforcement learning is a different thing from BERT or CNN. It is not actually a technique or a model, it is a type of problem (hidden markov models), and the set of techniques used to solve that problem.

More precisely, Reinforcement Learning it the class of problems where you have

• An agent
• who has to chooses actions to take
• Those actions will change its state and give it a reward Where your goal is to maximize the reward.

This fits very well with game AI, or robotics applications for example.

But in your case, you want to develop a classifier from a labeled dataset. That is not a reinforcement learning problem , it is supervised learning