Agent Architecture Meeting with Martha: Overview of Design Choices

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강의 계획서 보기

배우게 될 기술

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

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CK

2021년 6월 16일

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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.

DL

2020년 5월 31일

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Matha and Adam, thank you again. I will try to apply what I learned here to my own work, a content recommendation system based on deep learning and reinforcement learning.

수업에서

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.

강사:

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    Martha White

    Assistant Professor

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    Adam White

    Assistant Professor

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