Reinforcement Learning
    3.
    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
      1.
      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.

Q-LEARN

    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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