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Artificial Intelligence IV - Reinforcement Learning in Java
All you need to know about Markov Decision processes, value- and policy-iteation as well as about Q learning approach
₹2499
This Course Includes
udemy
3.9 (184 reviews )
3 total hours 
english
Online - Self Paced
course
Udemy
About Artificial Intelligence IV - Reinforcement Learning in Java
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:
What You Will Learn?
- Understand reinforcement learning.
- Understand Markov Decision Processes.
- Understand value- and policy-iteration.
- Understand Q-learning approach and it's applications.