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Reinforcement Learning: Tools & Frameworks

Reinforcement Learning: Tools & Frameworks


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Discover reinforcement learning types and how to implement reinforcement learning using Keras, Python, and TensorFlow. Explore the concept of Q-learning and how to implement it using Python.



Expected Duration (hours)
0.6

Lesson Objectives

Reinforcement Learning: Tools & Frameworks

  • recognize the different types of reinforcement learning that can be implemented for decision-making
  • implement reinforcement learning using Keras and Python
  • identify the role of the Markov decision process in reinforcement learning
  • describe Q-learning, Q-learning rule, and deep Q-learning
  • install TensorFlow
  • implement reinforcement learning using TensorFlow
  • implement Q-learning using Python
  • implement reinforcement learning using Python and TensorFlow and implement Q-learning using Python
  • Course Number:
    it_mlrlfndj_02_enus

    Expertise Level
    Intermediate