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

검토

4.7(353개의 평가)
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    75.35%
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    17.28%
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    6.51%
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    0.56%
  • 1 star
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DL

Jun 01, 2020

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.

RR

Aug 03, 2020

One of the most amazing set of courses that I have ever been through. This neither makes the stuff look difficult nor does it compromise on quality, absolutely the best.

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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