Course details

Reinforcement Learning: Essentials

Reinforcement Learning: Essentials


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore machine learning reinforcement learning, along with the essential components of reinforcement learning that will assist in the development of critical algorithms for decisionmaking, in this 10-video course. You will examine how to achieve continuous improvement in performance of machines or programs over time, along with key differences between reinforcement learning and machine learning paradigm. Learners will observe how to depict the flow of reinforcement learning by using agent, action, and environment. Next, you will examine different scenarios of state changes and transition processes applied in reinforcement learning. Then examine the reward hypothesis, and learn to recognize the role of rewards in reinforcement learning. You will learn that all goals can be described by maximization of the expected cumulative rewards. Continue by learning the essential steps applied by agents in reinforcement learning to make decisions. You will explore the types of reinforcement learning environments, including deterministic, observable, discrete or continuous, and single-agent or multi-agent. Finally, you will learn how to install OpenAI Gym and OpenAl Universe.



Expected Duration (hours)
0.5

Lesson Objectives

Reinforcement Learning: Essentials

  • Course Overview
  • define reinforcement learning and describe its essential elements
  • recognize the key differences between the reinforcement learning and machine learning paradigms
  • depict the flow of reinforcement learning using agent, action, and environment
  • describe different state change scenarios and transition processes in reinforcement learning
  • recognize the role of rewards in reinforcement learning
  • list the essential steps agents take to make decisions in reinforcement learning
  • recognize prominent reinforcement learning environment types
  • install OpenAI Gym and OpenAI Universe
  • list reinforcement learning elements, agents involved in the process and the steps they take, and reinforcement learning environments
  • Course Number:
    it_mlrlfndj_01_enus

    Expertise Level
    Intermediate