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Artificial Intelligence IV - Reinforcement Learning in Java

Artificial Intelligence IV - Reinforcement Learning in Java
Link : best udemy course coupon code Artificial Intelligence IV - Reinforcement Learning in Java
Artificial Intelligence IV – Reinforcement Learning in Java. Free download Artificial Intelligence IV – Reinforcement Learning in Java. This tutorial/course is created by Holczer Balazs. All you need to know about Markov Decision processes, value- and policy-iteation as well as about Q learning approach.
by Holczer Balazs

What you'll learn

  • Understand reinforcement learning
  • Understand Markov Decision Processes
  • Understand value- and policy-iteration
  • Understand Q-learning approach and it's applications

Description
This course is about Reinforcement Learning. The first step is to talk about the mathematical background: we can use a Markov Decision Process as a model for reinforcement learning. We can solve the problem 3 ways: value-iteration, policy-iteration and Q-learning. Q-learning is a model free approach so it is state-of-the-art approach. It learns the optimal policy by interacting with the environment. So these are the topics:

  •  Markov Decision Processes
  •  value-iteration and policy-iteration
  • Q-learning fundamentals
  • pathfinding algorithms with Q-learning
  • Q-learning with neural networks

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