logo
ML through Reinforcement Learning
[CLOSED] ๐Ÿ”’Idea, Concepts and Terms
Initializing search
    • Home
    • Materials
    • Premium Content
    • About
    • Newslatter
    • Home
      • The Latest
          • 0. (First step)-(Last step)
          • 1. Prerequisites
          • 2. Set up new project, git info
          • [CLOSED] ๐Ÿ”’3. numpy
          • [CLOSED] ๐Ÿ”’4. matplotlib
          • [CLOSED] ๐Ÿ”’5. Linear Regression
          • [CLOSED] ๐Ÿ”’6. Logistic Regression
          • [CLOSED] ๐Ÿ”’7. Perceptron, MLP, XOR
          • [CLOSED] ๐Ÿ”’8. Neurol Networks
          • [CLOSED] ๐Ÿ”’9. NN weights init
          • Why RL
          • When RL
          • [CLOSED] ๐Ÿ”’Idea, Concepts and Terms
          • course page
          • RL vocabulary
          • [CLOSED] ๐Ÿ”’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] ๐Ÿ”’How to hire good rl engineer? (For HR and job seekers)
        • Authors
      • [CLOSED] ๐Ÿ”’Advanced Topics
      • [CLOSED] ๐Ÿ”’Advanced Topics
    • About
    • Newslatter
    Mf3hRILWHBuWprXQazHzNg==;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

    This premium content requires a password

    Contact your administrator ___Vitalii___ for access to this page.

    © Copyright ยฉ 2023-2025 Vitalii Grebnev