Agent Architecture Meeting with Martha: Overview of Design Choices

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Compétences que vous apprendrez

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

Avis

4.7 (583 évaluations)

  • 5 stars
    77,35 %
  • 4 stars
    16,46 %
  • 3 stars
    5,14 %
  • 2 stars
    0,68 %
  • 1 star
    0,34 %

CK

16 juin 2021

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 déc. 2021

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.

À partir de la leçon

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.

Enseigné par

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    Martha White

    Assistant Professor

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    Adam White

    Assistant Professor

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