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Artificial Intelligence: Reinforcement Learning in Python
by Lazy Programmer Inc. · Udemy
4.6(8,500 reviews)
60K+ enrolled18 hoursUpdated 2024-09
What You'll Learn
Understand the fundamentals and key concepts of reinforcement learning
Apply reinforcement learning techniques to solve real-world problems
Understand the fundamentals and key concepts of Q-learning
Apply Q-learning techniques to solve real-world problems
Understand the fundamentals and key concepts of deep RL
Apply deep RL techniques to solve real-world problems
About This Course
Implement multi-armed bandits, dynamic programming, Monte Carlo, TD learning, and deep Q-networks from scratch in Python.
Curriculum
Module 1: Reinforcement learning & Q-learning6 lessons
- Introduction to reinforcement learning
- Reinforcement learning in Practice
- Hands-on Exercise: Reinforcement learning
- Introduction to Q-learning
- Q-learning in Practice
- Hands-on Exercise: Q-learning
Module 2: Deep RL & Dynamic programming6 lessons
- Introduction to deep RL
- Deep RL in Practice
- Hands-on Exercise: Deep RL
- Introduction to dynamic programming
- Dynamic programming in Practice
- Hands-on Exercise: Dynamic programming
Module 3: Python3 lessons
- Introduction to Python
- Python in Practice
- Hands-on Exercise: Python
Instructor
Lazy Programmer Inc.
Instructor at Udemy
Pros & Cons
Pros
- Offers a certificate of completion
- High-quality video lectures
- Taught by Lazy Programmer Inc.
- Well-structured curriculum
Cons
- Requires paid subscription
- Requires significant prior knowledge
- Self-paced requires discipline
$12.99
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