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