Reinforcement Learning
    ZipRecruiter on Classifying Job Titles With Noisy Labels Using REINFORCE - Fine-grained job title classification with noisy labels using the REINFORCE algorithm and multi-task learning
      this article has a very nice trick in adding a reward component to the loss function in order to mitigate for unbalanced class label problem, instead of the usual balancing.


    Markov chain problem, (state, action, new state, reward)
    Lots of Exploration in the beginning, then exploitation
    Returns optimal policy.
    Refer to youtube here​

Deep Learning

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