Master Reinforcement Learning -Markov Decision Process (MDP)
Mastering Reinforcement Learning: From Gridworld to Real-World Applications
4.75 (4 reviews)
89
students
2.5 hours
content
May 2024
last update
$59.99
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What you will learn
Foundations of Markov Decision Processes
Modeling real-world problems as MDPs
Defining state spaces, action spaces, and transition probabilities
Constructing reward functions for different objectives
Value iteration algorithm for computing optimal value functions
Solving gridworld navigation problems with obstacles
Robotic navigation and path planning using MDPs
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5976734
udemy ID
16/05/2024
course created date
15/07/2024
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