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[Tutorialsplanet.NET] Udemy - Artificial Intelligence IV - Reinforcement Learning In Java
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Udemy - Artificial Intelligence IV - Reinforcement Learning in Java [TP] All you need to know about Markov Decision processes, value- and policy-iteation as well as about Q learning approach
What you'll learn
Understand reinforcement learning
Understand Markov Decision Processes
Understand value- and policy-iteration
Understand Q-learning approach and it's applications
Requirements
Basics AI knowledge: neural networks in the main
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.
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FILE LIST
Filename
Size
1 - Introduction/1 - Introduction.mp4
3.6 MB
1 - Introduction/2 - Types of learning.mp4
36.2 MB
1 - Introduction/3 - Applications of reinforcement learning.mp4
23.2 MB
2 - Markov Decision Process MDP Theory/10 - Mathematical formulation of reinforcement learning.html