Write a short section titled "Short introduction into algortihms for Reinforcement Learning".

Main keypoints are:

    shortly describe Q-learning method, include NAME_1 Equations
    shortly describe deep learning methods for reinforcement learning
    describe core deep RL algorithms in a way to reflect useful progressions of ideas from the recent history of the field, culminating in two approaches: 1.) based on approximating Q-function (Q-Learning) and 2.) direclty learning policy (Policy Optimization)

 Write your response with exactly 2 paragraphs, separated with the markdown divider: ***.
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