intermediateCertificate$25/mo
Introduction to Reinforcement Learning
by DataCamp Team · DataCamp
4.3(1,800 reviews)
40K+ enrolled4 hoursUpdated 2024-07
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 MDPs
Apply MDPs techniques to solve real-world problems
About This Course
Learn RL fundamentals covering Markov decision processes, Q-learning, and policy optimization with Python exercises.
Curriculum
Module 1: Reinforcement learning3 lessons
- Introduction to reinforcement learning
- Reinforcement learning in Practice
- Hands-on Exercise: Reinforcement learning
Module 2: Q-learning3 lessons
- Introduction to Q-learning
- Q-learning in Practice
- Hands-on Exercise: Q-learning
Module 3: MDPs3 lessons
- Introduction to MDPs
- MDPs in Practice
- Hands-on Exercise: MDPs
Module 4: Python3 lessons
- Introduction to Python
- Python in Practice
- Hands-on Exercise: Python
Instructor
DataCamp Team
Instructor at DataCamp
Pros & Cons
Pros
- Offers a certificate of completion
- Hands-on interactive exercises
- Taught by DataCamp Team
- Well-structured curriculum
Cons
- Requires paid subscription
- Self-paced requires discipline
$25/mo
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