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ML through Reinforcement Learning

Maxim Galkin

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ML through Reinforcement Learning

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  - ML basic
    ML basic
    
    0. (First step)-(Last step)
    
    1. Prerequisites
    
    2. Set up new project, git info
    
    3. numpy
    
    4. matplotlib
    
    5. Linear Regression
    
    6. Logistic Regression
    
    7. Perceptron, MLP, XOR
    
    8. Neurol Networks
    
    9. NN weights init
  - RL basic
    RL basic
    
    Why RL
    
    When RL
    
    Idea, Concepts and Terms
    
    course page
    
    RL vocabulary
    
    MDP
    
    Gymnasium (gym) api
    
    MC vc TD updates
    
    Sarsa, SarsaMax
    
    Q-Learning
    
    REINFORCE
    
    Reward rules
    
    Exploration/Exploitation
    
    Cusom gym env with different reward rules (parabola example)
    
    Real RL project
    
    Must read articles
    
    Top-k RL-engineer interview questions
    
    How to hire good rl engineer? (For HR and job seekers)
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Maxim Galkin

This guy is course administrator and lead of support team. Any questions are welcome. contact telegram @Schpick_1.

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