Agent Architecture Meeting with Martha: Overview of Design Choices

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学習するスキル

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

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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.

YO

Apr 18, 2020

The project seems to be complicated at first glance, but the notebook will guide you through the implementation, and you will know what you are doing eventually.

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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.

講師

  • Martha White

    Martha White

    Assistant Professor
  • Adam White

    Adam White

    Assistant Professor

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