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
    nah25P7ZxCOBKh6aQZOA6g==;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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