Skip to content

ML through Reinforcement Learning

Vlad Kirianof

Initializing search

Home
Materials
Premium Content
About
Newslatter

ML through Reinforcement Learning

Home
Materials
Materials
- The Latest
- Cources
  Cources
  - 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)
- Info
  Info
  - Authors
Premium Content
Premium Content
- Advanced Topics
- Advanced Topics
About
Newslatter

Vlad Kirianof

This guy helped to organise Server of this website and CI/CD. contact telegram @vnightsky and github.

© Copyright © 2023-2025 Vitalii Grebnev