Agent Architecture Meeting with Martha: Overview of Design Choices

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Получаемые навыки

Artificial Intelligence (AI), Machine Learning, Reinforcement Learning, Function Approximation, Intelligent Systems

Рецензии

4.7 (оценок: 562)

  • 5 stars
    77,40 %
  • 4 stars
    16,72 %
  • 3 stars
    5,16 %
  • 2 stars
    0,35 %
  • 1 star
    0,35 %

CK

16 июня 2021 г.

Very good course and specialization. If you want to get the most out of it, I recommend following their required reading and keep reading that book to cover other chapter as well.

AM

9 дек. 2021 г.

This training course is better than all other trainings by having programming exercises. The learner implements the algorithms in practice, which helps him / her to learn better.

Из урока

Milestone 3: Identify Key Performance Parameters

This week you will identify key parameters that affect the performance of your agent. The goal is to understand the space of options, to later enable you to choose which parameter you will investigate in-depth for your agent.

Преподаватели

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    Martha White

    Assistant Professor

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    Adam White

    Assistant Professor

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