Understand Deep Q-Learning with Code and Math Together
Mastering Deep Q-Learning: Unveiling the Code and Math Behind Intelligent Navigation
4.00 (2 reviews)
47
students
4.5 hours
content
Jun 2024
last update
$13.99
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What you will learn
Deep Q-Learning fundamentals
Code implementation of Deep Q-Learning
Mathematical foundations of Deep Q-Learning
Building a navigation agent from scratch
Python programming for reinforcement learning
Understanding state representation
Action selection strategies
Reward computation
Q-value estimation
DQN (Deep Q-Network) architecture
Neural network layers and their role
Exploration-exploitation trade-off
Optimization algorithms
Loss functions and gradients
Backpropagation
Explaining the math behind Deep Q-Learning
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Enrollment Distribution
6009690
udemy ID
05/06/2024
course created date
15/07/2024
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