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ML through Reinforcement Learning

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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
    
    [CLOSED] 🔒3. numpy
    
    [CLOSED] 🔒4. matplotlib
    
    [CLOSED] 🔒5. Linear Regression
    
    [CLOSED] 🔒6. Logistic Regression
    
    [CLOSED] 🔒7. Perceptron, MLP, XOR
    
    [CLOSED] 🔒8. Neurol Networks
    
    [CLOSED] 🔒9. NN weights init
  - RL basic
    RL basic
    
    Why RL
    
    When RL
    
    [CLOSED] 🔒Idea, Concepts and Terms
    
    [CLOSED] 🔒course page [CLOSED] 🔒course page
    Table of contents
    
    Closed module
    
    RL vocabulary
    
    [CLOSED] 🔒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
    
    [CLOSED] 🔒How to hire good rl engineer? (For HR and job seekers)
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  Info
  - Authors
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