Creating custom environments for reinforcement learning in MATLAB

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  • Опубликовано: 21 окт 2022
  • In this video we are going to create a custom environment for reinforcement learning in MATLAB. The environment models a cart pole balancing system.
    We are going to create the environment in 3 ways:
    1) By reset/step function names.
    2) By reset/step function handles (lambda's).
    3) By using object oriented programming (OOP) - classes.
    References:
    "Create MATLAB Environment Using Custom Functions"
    www.mathworks.com/help/releas...
    "Create Custom MATLAB Environment from Template"
    www.mathworks.com/help/releas...
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Комментарии • 3

  • @khmengslot1576
    @khmengslot1576 6 месяцев назад +1

    Thanks 🙏

  • @user-eg8hq1jm5d
    @user-eg8hq1jm5d Год назад +1

    Thank you for excellent explanation. Could you please create custom environment for robot path planning?

    • @IvanGarcia-cx5jm
      @IvanGarcia-cx5jm  6 месяцев назад

      It would be great to have one, although I don't have the bandwidth. You can ask in MATLAB Answers if there is a reinforcement learning environment for robot planning. The reinforcement learning team could look into this question and make a demo for that. Maybe they point you to an existing one. You can try posting your question here:
      www.mathworks.com/matlabcentral/answers/index/?s_tid=mlc_disc