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

4.6 (238 évaluations)
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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.

MI

Mar 27, 2020

Thanks a lot for offering this specialization! I really enjoyed watching the videos and working on the assignments while exploring various topics of RL.

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

  • Martha White

    Martha White

    Assistant Professor
  • Adam White

    Adam White

    Assistant Professor

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