Agent Architecture Meeting with Martha: Overview of Design Choices

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您将学习的技能

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

审阅

4.7(583 个评分)

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    77.35%
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  • 3 stars
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  • 1 star
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CK

Jun 16, 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

Dec 9, 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.

从本节课中

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.

教学方

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    Martha White

    Assistant Professor

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    Adam White

    Assistant Professor

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