A Complete Reinforcement Learning System (Capstone)

This course is part of Reinforcement Learning Specialization

Instructors: Martha White +1 more

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Skills you'll gain

  •   Solution Architecture
  •   Algorithms
  •   Debugging
  •   Performance Testing
  •   Artificial Neural Networks
  •   Machine Learning Algorithms
  •   Markov Model
  •   Reinforcement Learning
  •   Artificial Intelligence

    • There are 6 modules in this course

    To be successful in this course, you will need to have completed Courses 1, 2, and 3 of this Specialization or the equivalent. By the end of this course, you will be able to: Complete an RL solution to a problem, starting from problem formulation, appropriate algorithm selection and implementation and empirical study into the effectiveness of the solution.

    Milestone 1: Formalize Word Problem as MDP

    Milestone 2: Choosing The Right Algorithm

    Milestone 3: Identify Key Performance Parameters

    Milestone 4: Implement Your Agent

    Milestone 5: Submit Your Parameter Study!

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